[User] <image>

[User] Present the information from the mind map in the image in the form of tree-structured data.

[Assistant] <s_map><s_node-0><s_text>Mind Mapping and ADR</s_text><s_node-1><s_text>Introduction</s_text><s_node-2><s_text>Rich  Vitaris</s_text><s_node-3><s_text>Retired Judge</s_text><s_node-4><s_text>Defense Attorney and Prosecutor U.S. Army JAG Corps</s_text><sep/><s_text>Employment Law Attorney with U.S. Army</s_text></s_node-4><sep/><s_text>Mediator</s_text><s_node-4><s_text>Harvard Program on Negotiation</s_text><sep/><s_text>Certificate in Dispute Resolution from National Judicial College</s_text><sep/><s_text>Advanced Mediation, Justice Center of Atlanta</s_text><sep/><s_text>Registered Neutral, State of Georgia</s_text></s_node-4><sep/><s_text>Trainer</s_text><s_node-4><s_text>Write Column for cyberFeds.com</s_text><sep/><s_text>Present in-person training & webinars on Federal employment law for LRP Media Group lrp.com</s_text></s_node-4><sep/><s_text>Mind Mapping Enthusiast</s_text><s_node-4><s_text>Biggerplate Pro Webinar on Mind Mapping & the Legal Profession</s_text><sep/><s_text>Attended Biggerplate Unlimited New York</s_text><sep/><s_text>Software</s_text><s_node-5><s_text>MindManager for Mac 13</s_text><sep/><s_text>Mindmeister</s_text><sep/><s_text>Previously used</s_text><s_node-6><s_text>XMind</s_text><sep/><s_text>NovaMind</s_text><sep/><s_text>iMindMap 11/Ayoa</s_text></s_node-6></s_node-5></s_node-4></s_node-3><sep/><s_text>What is Alternative Dispute Resolution (ADR)</s_text><s_node-3><s_text>Can be combined</s_text><sep/><s_text>Direct Settlement negotiations</s_text><sep/><s_text>Mediation</s_text><s_node-4><s_text>Court Ordered</s_text><sep/><s_text>Not Court Ordered</s_text></s_node-4><sep/><s_text>Neutral Case Evaluation</s_text><s_node-4><s_text>Subject Matter expert</s_text><sep/><s_text>With a Settlement Judge</s_text></s_node-4></s_node-3></s_node-2><sep/><s_text>Challenges</s_text><s_node-2><s_text>Controlling Emotions</s_text><s_node-3><s_text>Important issues</s_text><s_node-4><s_text>Money</s_text><sep/><s_text>Relationships</s_text><sep/><s_text>Prestige/Status</s_text></s_node-4><sep/><s_text>Difficult People</s_text><s_node-4><s_text>Personal Animosity</s_text><sep/><s_text>Lack of Objectivity</s_text><sep/><s_text>Personality Disorders</s_text><s_node-5><s_text>Personality disorders affect at least two of these areas:</s_text><sep/><s_text>Way of thinking about oneself and others</s_text><sep/><s_text>Way of responding emotionally</s_text><sep/><s_text>Way of relating to other people</s_text><sep/><s_text>Way of controlling one’s behavior</s_text></s_node-5></s_node-4></s_node-3><sep/><s_text>Time Constraints</s_text><s_node-3><s_text>Trial date set</s_text><sep/><s_text>Cost of mediation</s_text><sep/><s_text>Scheduling limitations</s_text></s_node-3></s_node-2><sep/><s_text>ADR Concepts</s_text><s_node-2><s_text>Identifying Interests</s_text><s_node-3><s_text>Wants v. Needs</s_text><sep/><s_text>360 degree Understanding</s_text></s_node-3><sep/><s_text>Interest Based Bargaining</s_text><sep/><s_text>Book Maps</s_text><s_node-3><s_text>Getting to Yes</s_text><sep/><s_text>Crucial Conversations</s_text></s_node-3></s_node-2><sep/><s_text>Using Mind Maps in ADR</s_text><s_node-2><s_text>Case Evaluation</s_text><s_node-3><s_text>Intake</s_text><s_node-4><s_text>Handwritten Map</s_text><sep/><s_text>Completed Map</s_text></s_node-4><sep/><s_text>Evaluation of Law</s_text><sep/><s_text>Evaluation of Settlement Environment</s_text></s_node-3><sep/><s_text>Identifying Options</s_text><sep/><s_text>Reality Testing</s_text><sep/><s_text>Drafting the Agreement</s_text><s_node-3><s_text>Boilerplate Library</s_text><s_node-4><s_text>Settlement Boilerplate.docx</s_text></s_node-4></s_node-3></s_node-2><sep/><s_text>Resources</s_text><s_node-2><s_text>GA Office of Dispute Resolution</s_text><sep/><s_text>Regs, Policies</s_text><s_node-3><s_text>GA ADR Rules.pdf</s_text></s_node-3></s_node-2><sep/><s_text>How Mind Mapping Helped</s_text><s_node-2><s_text>The Map is Objective</s_text><sep/><s_text>Helps avoid parties trying to revisit old ground</s_text><sep/><s_text>Handwriting maps aids reality checking</s_text><sep/><s_text>Helps the mediator control the focus of the discussion</s_text><sep/><s_text>Helps with participants with personality disorders</s_text></s_node-2><sep/><s_text>Questions</s_text></s_node-1></s_node-0></s_map>


[User] <image>

[User] Extract the key points from this mind map and construct their hierarchical relationship.

[Assistant] <s_map><s_node-0><s_text>Neural network</s_text><s_node-1><s_text>about this map</s_text><s_node-2><s_text>by wojciech korsak (Warsaw/POLAND)</s_text><sep/><s_text>all information: https://en.wikipedia.org/wiki/Neural_network</s_text></s_node-2><sep/><s_text>introduction</s_text><s_node-2><s_text>A neural network is a network or circuit of neurons, or in a modern sense, an artificial neural network, composed of artificial neurons or nodes.[1] Thus a neural network is either a biological neural network, made up of real biological neurons, or an artificial neural network, for solving artificial intelligence (AI) problems. The connections of the biological neuron are modeled as weights. A positive weight reflects an excitatory connection, while negative values mean inhibitory connections. All inputs are modified by a weight and summed. This activity is referred as a linear combination. Finally, an activation function controls the amplitude of the output. For example, an acceptable range of output is usually between 0 and 1, or it could be −1 and 1.</s_text><sep/><s_text>These artificial networks may be used for predictive modeling, adaptive control and applications where they can be trained via a dataset. Self-learning resulting from experience can occur within networks, which can derive conclusions from a complex and seemingly unrelated set of information.[2]</s_text></s_node-2><sep/><s_text>Overview</s_text><s_node-2><s_text>A biological neural network is composed of a group or groups of chemically connected or functionally associated neurons. A single neuron may be connected to many other neurons and the total number of neurons and connections in a network may be extensive. Connections, called synapses, are usually formed from axons to dendrites, though dendrodendritic synapses[3] and other connections are possible. Apart from the electrical signaling, there are other forms of signaling that arise from neurotransmitter diffusion.</s_text><sep/><s_text>Artificial intelligence, cognitive modeling, and neural networks are information processing paradigms inspired by the way biological neural systems process data. Artificial intelligence and cognitive modeling try to simulate some properties of biological neural networks. In the artificial intelligence field, artificial neural networks have been applied successfully to speech recognition, image analysis and adaptive control, in order to construct software agents (in computer and video games) or autonomous robots.</s_text><sep/><s_text>Historically, digital computers evolved from the von Neumann model, and operate via the execution of explicit instructions via access to memory by a number of processors. On the other hand, the origins of neural networks are based on efforts to model information processing in biological systems. Unlike the von Neumann model, neural network computing does not separate memory and processing.</s_text><sep/><s_text>Neural network theory has served both to better identify how the neurons in the brain function and to provide the basis for efforts to create artificial intelligence.</s_text></s_node-2><sep/><s_text>History</s_text><s_node-2><s_text>The preliminary theoretical base for contemporary neural networks was independently proposed by Alexander Bain[4] (1873) and William James[5] (1890). In their work, both thoughts and body activity resulted from interactions among neurons within the brain.</s_text><sep/><s_text>Computer simulation of the branching architecture of the dendrites of pyramidal neurons.[6]</s_text><sep/><s_text>For Bain,[4] every activity led to the firing of a certain set of neurons. When activities were repeated, the connections between those neurons strengthened. According to his theory, this repetition was what led to the formation of memory. The general scientific community at the time was skeptical of Bain's[4] theory because it required what appeared to be an inordinate number of neural connections within the brain. It is now apparent that the brain is exceedingly complex and that the same brain “wiring” can handle multiple problems and inputs.</s_text><sep/><s_text>James's[5] theory was similar to Bain's,[4] however, he suggested that memories and actions resulted from electrical currents flowing among the neurons in the brain. His model, by focusing on the flow of electrical currents, did not require individual neural connections for each memory or action.</s_text><sep/><s_text>C. S. Sherrington[7] (1898) conducted experiments to test James's theory. He ran electrical currents down the spinal cords of rats. However, instead of demonstrating an increase in electrical current as projected by James, Sherrington found that the electrical current strength decreased as the testing continued over time. Importantly, this work led to the discovery of the concept of habituation.</s_text><sep/><s_text>McCulloch and Pitts[8] (1943) created a computational model for neural networks based on mathematics and algorithms. They called this model threshold logic. The model paved the way for neural network research to split into two distinct approaches. One approach focused on biological processes in the brain and the other focused on the application of neural networks to artificial intelligence.</s_text><sep/><s_text>In the late 1940s psychologist Donald Hebb[9] created a hypothesis of learning based on the mechanism of neural plasticity that is now known as Hebbian learning. Hebbian learning is considered to be a 'typical' unsupervised learning rule and its later variants were early models for long term potentiation. These ideas started being applied to computational models in 1948 with Turing's B-type machines.</s_text><sep/><s_text>Farley and Clark[10] (1954) first used computational machines, then called calculators, to simulate a Hebbian network at MIT. Other neural network computational machines were created by Rochester, Holland, Habit, and Duda[11] (1956).</s_text><sep/><s_text>Rosenblatt[12] (1958) created the perceptron, an algorithm for pattern recognition based on a two-layer learning computer network using simple addition and subtraction. With mathematical notation, Rosenblatt also described circuitry not in the basic perceptron, such as the exclusive-or circuit, a circuit whose mathematical computation could not be processed until after the backpropagation algorithm was created by Werbos[13] (1975).</s_text><sep/><s_text>Neural network research stagnated after the publication of machine learning research by Marvin Minsky and Seymour Papert[14] (1969). They discovered two key issues with the computational machines that processed neural networks. The first issue was that single-layer neural networks were incapable of processing the exclusive-or circuit. The second significant issue was that computers were not sophisticated enough to effectively handle the long run time required by large neural networks. Neural network research slowed until computers achieved greater processing power. Also key in later advances was the backpropagation algorithm which effectively solved the exclusive-or problem (Werbos 1975).[13]</s_text><sep/><s_text>The parallel distributed processing of the mid-1980s became popular under the name connectionism. The text by Rumelhart and McClelland[15] (1986) provided a full exposition on the use of connectionism in computers to simulate neural processes.</s_text><sep/><s_text>Neural networks, as used in artificial intelligence, have traditionally been viewed as simplified models of neural processing in the brain, even though the relation between this model and brain biological architecture is debated, as it is not clear to what degree artificial neural networks mirror brain function.[16]</s_text></s_node-2><sep/><s_text>Artificial intelligence</s_text><s_node-2><s_text>Main article: Artificial neural network</s_text><sep/><s_text>A neural network (NN), in the case of artificial neurons called artificial neural network (ANN) or simulated neural network (SNN), is an interconnected group of natural or artificial neurons that uses a mathematical or computational model for information processing based on a connectionistic approach to computation. In most cases an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network.</s_text><sep/><s_text>In more practical terms neural networks are non-linear statistical data modeling or decision making tools. They can be used to model complex relationships between inputs and outputs or to find patterns in data.</s_text><sep/><s_text>An artificial neural network involves a network of simple processing elements (artificial neurons) which can exhibit complex global behavior, determined by the connections between the processing elements and element parameters. Artificial neurons were first proposed in 1943 by Warren McCulloch, a neurophysiologist, and Walter Pitts, a logician, who first collaborated at the University of Chicago.[17]</s_text><sep/><s_text>One classical type of artificial neural network is the recurrent Hopfield network.</s_text><sep/><s_text>The concept of a neural network appears to have first been proposed by Alan Turing in his 1948 paper Intelligent Machinery in which called them "B-type unorganised machines".[18]</s_text><sep/><s_text>The utility of artificial neural network models lies in the fact that they can be used to infer a function from observations and also to use it. Unsupervised neural networks can also be used to learn representations of the input that capture the salient characteristics of the input distribution, e.g., see the Boltzmann machine (1983), and more recently, deep learning algorithms, which can implicitly learn the distribution function of the observed data. Learning in neural networks is particularly useful in applications where the complexity of the data or task makes the design of such functions by hand impractical.</s_text></s_node-2><sep/><s_text>Applications</s_text><s_node-2><s_text>Neural networks can be used in different fields. The tasks to which artificial neural networks are applied tend to fall within the following broad categories:</s_text><s_node-3><s_text>Function approximation, or regression analysis, including time series prediction and modeling.</s_text><sep/><s_text>Classification, including pattern and sequence recognition, novelty detection and sequential decision making.</s_text><sep/><s_text>Data processing, including filtering, clustering, blind signal separation and compression.</s_text></s_node-3><sep/><s_text>Application areas of ANNs include nonlinear system identification[19] and control (vehicle control, process control), game-playing and decision making (backgammon, chess, racing), pattern recognition (radar systems, face identification, object recognition), sequence recognition (gesture, speech, handwritten text recognition), medical diagnosis, financial applications, data mining (or knowledge discovery in databases, "KDD"), visualization and e-mail spam filtering. For example, it is possible to create a semantic profile of user's interests emerging from pictures trained for object recognition.[20]</s_text></s_node-2><sep/><s_text>Neuroscience</s_text><s_node-2><s_text>Theoretical and computational neuroscience is the field concerned with the theoretical analysis and computational modeling of biological neural systems. Since neural systems are intimately related to cognitive processes and behaviour, the field is closely related to cognitive and behavioural modeling.</s_text><sep/><s_text>The aim of the field is to create models of biological neural systems in order to understand how biological systems work. To gain this understanding, neuroscientists strive to make a link between observed biological processes (data), biologically plausible mechanisms for neural processing and learning (biological neural network models) and theory (statistical learning theory and information theory).</s_text><sep/><s_text>Types of models</s_text><s_node-3><s_text>Many models are used; defined at different levels of abstraction, and modeling different aspects of neural systems. They range from models of the short-term behaviour of individual neurons, through models of the dynamics of neural circuitry arising from interactions between individual neurons, to models of behaviour arising from abstract neural modules that represent complete subsystems. These include models of the long-term and short-term plasticity of neural systems and its relation to learning and memory, from the individual neuron to the system level.</s_text></s_node-3></s_node-2><sep/><s_text>Criticism</s_text><s_node-2><s_text>A common criticism of neural networks, particularly in robotics, is that they require a large diversity of training for real-world operation. This is not surprising, since any learning machine needs sufficient representative examples in order to capture the underlying structure that allows it to generalize to new cases. Dean Pomerleau, in his research presented in the paper "Knowledge-based Training of Artificial Neural Networks for Autonomous Robot Driving," uses a neural network to train a robotic vehicle to drive on multiple types of roads (single lane, multi-lane, dirt, etc.). A large amount of his research is devoted to (1) extrapolating multiple training scenarios from a single training experience, and (2) preserving past training diversity so that the system does not become overtrained (if, for example, it is presented with a series of right turns—it should not learn to always turn right). These issues are common in neural networks that must decide from amongst a wide variety of responses, but can be dealt with in several ways, for example by randomly shuffling the training examples, by using a numerical optimization algorithm that does not take too large steps when changing the network connections following an example, or by grouping examples in so-called mini-batches.</s_text><sep/><s_text>A. K. Dewdney, a former Scientific American columnist, wrote in 1997, "Although neural nets do solve a few toy problems, their powers of computation are so limited that I am surprised anyone takes them seriously as a general problem-solving tool" (Dewdney, p. 82).</s_text><sep/><s_text>Arguments for Dewdney's position are that to implement large and effective software neural networks, much processing and storage resources need to be committed. While the brain has hardware tailored to the task of processing signals through a graph of neurons, simulating even a most simplified form on Von Neumann technology may compel a neural network designer to fill many millions of database rows for its connections—which can consume vast amounts of computer memory and hard disk space. Furthermore, the designer of neural network systems will often need to simulate the transmission of signals through many of these connections and their associated neurons—which must often be matched with incredible amounts of CPU processing power and time. While neural networks often yield effective programs, they too often do so at the cost of efficiency (they tend to consume considerable amounts of time and money).</s_text><sep/><s_text>Arguments against Dewdney's position are that neural nets have been successfully used to solve many complex and diverse tasks, such as autonomously flying aircraft.[21]</s_text><sep/><s_text>Technology writer Roger Bridgman commented on Dewdney's statements about neural nets:</s_text><s_node-3><s_text>Neural networks, for instance, are in the dock not only because they have been hyped to high heaven, (what hasn't?) but also because you could create a successful net without understanding how it worked: the bunch of numbers that captures its behaviour would in all probability be "an opaque, unreadable table...valueless as a scientific resource".</s_text><sep/><s_text>In spite of his emphatic declaration that science is not technology, Dewdney seems here to pillory neural nets as bad science when most of those devising them are just trying to be good engineers. An unreadable table that a useful machine could read would still be well worth having.[22]</s_text></s_node-3><sep/><s_text>Although it is true that analyzing what has been learned by an artificial neural network is difficult, it is much easier to do so than to analyze what has been learned by a biological neural network. Moreover, recent emphasis on the explainability of AI has contributed towards the development of methods, notably those based on attention mechanisms, for visualizing and explaining learned neural networks. Furthermore, researchers involved in exploring learning algorithms for neural networks are gradually uncovering generic principles which allow a learning machine to be successful. For example, Bengio and LeCun (2007) wrote an article regarding local vs non-local learning, as well as shallow vs deep architecture.[23]</s_text><sep/><s_text>Some other criticisms came from believers of hybrid models (combining neural networks and symbolic approaches). They advocate the intermix of these two approaches and believe that hybrid models can better capture the mechanisms of the human mind (Sun and Bookman, 1990).</s_text></s_node-2><sep/><s_text>Recent improvements</s_text><s_node-2><s_text>While initially research had been concerned mostly with the electrical characteristics of neurons, a particularly important part of the investigation in recent years has been the exploration of the role of neuromodulators such as dopamine, acetylcholine, and serotonin on behaviour and learning.</s_text><sep/><s_text>Biophysical models, such as BCM theory, have been important in understanding mechanisms for synaptic plasticity, and have had applications in both computer science and neuroscience. Research is ongoing in understanding the computational algorithms used in the brain, with some recent biological evidence for radial basis networks and neural backpropagation as mechanisms for processing data.</s_text><sep/><s_text>Computational devices have been created in CMOS for both biophysical simulation and neuromorphic computing. More recent efforts show promise for creating nanodevices for very large scale principal components analyses and convolution.[24] If successful, these efforts could usher in a new era of neural computing that is a step beyond digital computing,[25] because it depends on learning rather than programming and because it is fundamentally analog rather than digital even though the first instantiations may in fact be with CMOS digital devices.</s_text><sep/><s_text>Between 2009 and 2012, the recurrent neural networks and deep feedforward neural networks developed in the research group of Jürgen Schmidhuber at the Swiss AI Lab IDSIA have won eight international competitions in pattern recognition and machine learning.[26] For example, multi-dimensional long short term memory (LSTM)[27][28] won three competitions in connected handwriting recognition at the 2009 International Conference on Document Analysis and Recognition (ICDAR), without any prior knowledge about the three different languages to be learned.</s_text><sep/><s_text>Variants of the back-propagation algorithm as well as unsupervised methods by Geoff Hinton and colleagues at the University of Toronto can be used to train deep, highly nonlinear neural architectures,[29] similar to the 1980 Neocognitron by Kunihiko Fukushima,[30] and the "standard architecture of vision",[31] inspired by the simple and complex cells identified by David H. Hubel and Torsten Wiesel in the primary visual cortex.</s_text><sep/><s_text>Radial basis function and wavelet networks have also been introduced. These can be shown to offer best approximation properties and have been applied in nonlinear system identification and classification applications.[19]</s_text><sep/><s_text>Deep learning feedforward networks alternate convolutional layers and max-pooling layers, topped by several pure classification layers. Fast GPU-based implementations of this approach have won several pattern recognition contests, including the IJCNN 2011 Traffic Sign Recognition Competition[32] and the ISBI 2012 Segmentation of Neuronal Structures in Electron Microscopy Stacks challenge.[33] Such neural networks also were the first artificial pattern recognizers to achieve human-competitive or even superhuman performance[34] on benchmarks such as traffic sign recognition (IJCNN 2012), or the MNIST handwritten digits problem of Yann LeCun and colleagues at NYU.</s_text></s_node-2></s_node-1></s_node-0></s_map>


[User] <image>

[User] Please list in detail the topics, subtopics, and their connections in the mind map.

[Assistant] <s_map><s_node-0><s_text>zBase</s_text><s_node-1><s_text>View/Edit</s_text><s_node-2><s_text>View</s_text><s_node-3><s_text>Datasheet View only</s_text><sep/><s_text>Navigation by swiping up/down</s_text></s_node-3><sep/><s_text>Edit</s_text><s_node-3><s_text>Double Tap</s_text><s_node-4><s_text>Edit</s_text><sep/><s_text>View</s_text><sep/><s_text>Clear</s_text></s_node-4><sep/><s_text>Tap and Hold</s_text><s_node-4><s_text>Copy</s_text><sep/><s_text>Edit</s_text><sep/><s_text>View</s_text><sep/><s_text>Open in Safari (for weblinks)</s_text></s_node-4></s_node-3></s_node-2><sep/><s_text>Taskbar</s_text><s_node-2><s_text>Set Filter</s_text><sep/><s_text>Search</s_text><sep/><s_text>Display/Edit Actions</s_text><sep/><s_text>Chart</s_text><s_node-3><s_text>Scatter</s_text><sep/><s_text>Column</s_text><sep/><s_text>Line</s_text></s_node-3></s_node-2><sep/><s_text>This mind map was downloaded from www.biggerplate.com</s_text><s_node-2><s_text>Find more mind maps in our library</s_text><sep/><s_text>Follow us on Twitter</s_text><sep/><s_text>Find us on Facebook</s_text></s_node-2><sep/><s_text>Additional Information</s_text><s_node-2><s_text></s_text><s_node-3><s_text>Subscription required to use the red-colored features</s_text></s_node-3><sep/><s_text>First release on July 30, 2013 Version 1.0.1</s_text></s_node-2><sep/><s_text>Create</s_text><s_node-2><s_text>Main Menu</s_text><s_node-3><s_text>Database Files</s_text><s_node-4><s_text>Select Database</s_text><s_node-5><s_text>Create Table</s_text><s_node-6><s_text>Fields</s_text><s_node-7><s_text>List of existing fields</s_text><sep/><s_text>Create Field</s_text><s_node-8><s_text>Name</s_text><sep/><s_text>Type</s_text><s_relation>Supported Field Types ()</s_relation><sep/><s_text>Move Earlier</s_text><sep/><s_text>Must be Admin to Edit</s_text><sep/><s_text>Encryption</s_text><sep/><s_text>Default Value</s_text><sep/><s_text>Delete Field</s_text></s_node-8><sep/><s_text>Create Link to Many</s_text><sep/><s_text>Create Link to One</s_text></s_node-7><sep/><s_text>Name</s_text><sep/><s_text>Must be Admin to Add/Delete</s_text><sep/><s_text>Delete Table</s_text><sep/><s_text>Export Table as CSV</s_text></s_node-6><sep/><s_text>Import Files</s_text><sep/><s_text>Delete Database File</s_text><sep/><s_text>Rename Database File</s_text></s_node-5></s_node-4><sep/><s_text>Admin</s_text><s_node-4><s_text>Create Database</s_text><s_node-5><s_text>Empty</s_text><sep/><s_text>From Sample</s_text><s_node-6><s_text>CRM</s_text><sep/><s_text>Discussion</s_text><sep/><s_text>Expense Reports</s_text><sep/><s_text>Inventory</s_text><sep/><s_text>Issue Tracker</s_text><sep/><s_text>Mobile Database Comparison</s_text><sep/><s_text>Precipitation Data</s_text><sep/><s_text>To-Do List</s_text><sep/><s_text>Work Hours</s_text></s_node-6></s_node-5><sep/><s_text>Manage Users</s_text></s_node-4><sep/><s_text>Sync</s_text><s_node-4><s_text>Now</s_text><sep/><s_text>Journal</s_text><sep/><s_text>Interval</s_text><s_node-5><s_text>Manual</s_text><sep/><s_text>5 min</s_text><sep/><s_text>15 min</s_text><sep/><s_text>30 min</s_text><sep/><s_text>60 min</s_text></s_node-5></s_node-4><sep/><s_text>User</s_text><s_node-4><s_text>Exit Demo Mode</s_text><sep/><s_text>Change Password</s_text></s_node-4><sep/><s_text>Info</s_text><s_node-4><s_text>About zBase</s_text><sep/><s_text>Help</s_text></s_node-4></s_node-3></s_node-2></s_node-1></s_node-0></s_map>


[User] <image>

[User] Identify the elements of the mind map in this image and arrange them into structured data according to their intrinsic logical relationships.

[Assistant] <s_map><s_node-0><s_text>American Psychological Association</s_text><s_node-1><s_text>about this map</s_text><s_node-2><s_text>by wojciech korsak (Warsaw/POLAND)</s_text><sep/><s_text>all info https://en.wikipedia.org/wiki/ American_Psychological_Association</s_text></s_node-2><sep/><s_text>info</s_text><s_node-2><s_text>Formation</s_text><s_node-3><s_text>July 1892</s_text></s_node-3><sep/><s_text>Headquarters</s_text><s_node-3><s_text>750 First Street, NE</s_text><sep/><s_text>Washington, D.C., U.S.</s_text></s_node-3></s_node-2><sep/><s_text>introduction</s_text><s_node-2><s_text>The American Psychological Association (APA) is the largest scientific and professional organization of psychologists in the United States,[2] with over 121,000 members, including scientists, educators, clinicians, consultants, and students.[2] It has 54 divisions—interest groups for different subspecialties of psychology or topical areas.[3] The APA has an annual budget of around $115m.[4]</s_text></s_node-2><sep/><s_text>Profile</s_text><s_node-2><s_text>The APA has task forces that issue policy statements on various matters of social importance, including</s_text><s_node-3><s_text>abortion,</s_text><sep/><s_text>human rights,</s_text><sep/><s_text>the welfare of detainees,</s_text><sep/><s_text>human trafficking,</s_text><sep/><s_text>the rights of the mentally ill,</s_text><sep/><s_text>IQ testing,</s_text><sep/><s_text>sexual orientation change efforts,</s_text><sep/><s_text>and gender equality.[5]</s_text></s_node-3><sep/><s_text>Governance</s_text><s_node-3><s_text>APA is a corporation chartered in the District of Columbia. APA's bylaws describe structural components that serve as a system of checks and balances to ensure democratic process. The organizational entities include:</s_text><sep/><s_text>APA President. The APA's president is elected by the membership. The president chairs the Council of Representatives and the Board of Directors. During his or her term of office, the president performs such duties as are prescribed in the bylaws.</s_text><sep/><s_text>Board of Directors. The board is composed of six members-at-large, the president-elect, president, past-president, treasurer, recording secretary, CEO, and the chair of the American Psychological Association of Graduate Students (APAGS). The Board oversees the association's administrative affairs and presents an annual budget for council approval.</s_text><sep/><s_text>APA Council of Representatives. The council has sole authority to set policy and make decisions regarding APA's roughly $60 million annual income. It is composed of elected members from state/provincial/territorial psychological associations, APA divisions and the APA Board of Directors.</s_text><sep/><s_text>APA Committee Structure: Boards and Committees. Members of boards and committees conduct much of APA's work on a volunteer basis. They carry out a wide variety of tasks suggested by their names. Some have responsibility for monitoring major programs, such as the directorates, the journals and international affairs.[6]</s_text></s_node-3><sep/><s_text>Good Governance Project</s_text><s_node-3><s_text>The Good Governance Project (GGP) was initiated in January 2011 as part of the strategic plan to "[assure] APA's governance practices, processes and structures are optimized and aligned with what is needed to thrive in a rapidly changing and increasingly complex environment."[7] The charge included soliciting feedback and input stakeholders, learning about governance best practices, recommending whether change was required, recommending needed changes based on data, and creating implementation plans.[7] The June 2013 GGP update on the recommended changes can be found in the document "Good Governance Project Recommended Changes to Maximize Organizational Effectiveness of APA Governance".[8] The suggested changes would change APA from a membership-based, representational structure to a corporate structure. These motions were discussed and voted upon by Council on July 31, 2013 and August 2, 2013.[8]</s_text></s_node-3><sep/><s_text>Organizational structure</s_text><s_node-3><s_text>APA comprises an executive office, a publishing operation, offices that address administrative, business, information technology, and operational needs, and five substantive directorates:</s_text><sep/><s_text>the Education Directorate accredits doctoral psychology programs and addresses issues related to psychology education in secondary through graduate education;[9]</s_text><sep/><s_text>the Practice Directorate engages on behalf of practicing psychologists and health care consumers;[10]</s_text><sep/><s_text>the Public Interest Directorate advances psychology as a means of addressing the fundamental problems of human welfare and promoting the equitable and just treatment of all segments of society;[11]</s_text><sep/><s_text>the Public and Member Communications Directorate is responsible for APA's outreach to its members and affiliates and to the general public;[12]</s_text><sep/><s_text>the Science Directorate provides support and voice for psychological scientists.[13]</s_text></s_node-3></s_node-2><sep/><s_text>Databases</s_text><s_node-2><s_text>APA maintains a number of databases, including</s_text><s_node-3><s_text>PsycINFO, PsycARTICLES, PsycBOOKS, PsycEXTRA, PsycCRITIQUES, PsycTESTS, and PsycTHERAPY.[</s_text></s_node-3><sep/><s_text>APA also operates a comprehensive search platform, PsycNET, covering multiple databases.</s_text></s_node-2><sep/><s_text>History</s_text><s_node-2><s_text>Founding</s_text><s_node-3><s_text>The APA was founded in July 1892 at Clark University by a small group of around 30 men; by 1916 there were over 300 members. The first president was G. Stanley Hall. During World War II, the APA merged with other psychological organizations, resulting in a new divisional structure. Nineteen divisions were approved in 1944; the divisions with the most members were the clinical and personnel (now counseling) divisions. From 1960 to 2007, the number of divisions expanded to 54.[33] Today the APA is affiliated with 60 state, territorial, and Canadian provincial associations.[34]</s_text><sep/><s_text>G. Stanley Hall</s_text></s_node-3><sep/><s_text>Dominance of clinical psychology</s_text><s_node-3><s_text>Due to the dominance of clinical psychology in APA, several research-focused groups have broken away from the organization. These include the Psychonomic Society in 1959 (with a primarily cognitive orientation), and the Association for Psychological Science (which changed its name from the American Psychological Society in early 2006) in 1988 (with a broad focus on the science and research of psychology). Theodore H. Blau was the first clinician in independent practice to be elected president of the American Psychological Association in 1977.[35]</s_text><sep/><s_text></s_text><s_node-4><s_text>Formation 1959</s_text><sep/><s_text>Headquarters Madison, Wisconsin</s_text><sep/><s_text>Membership</s_text><s_node-5><s_text>4,300</s_text></s_node-5><sep/><s_text>2020 Chair</s_text><s_node-5><s_text>James Pomerantz, PhD, Rice University</s_text></s_node-5><sep/><s_text>Key people</s_text><s_node-5><s_text>Governing Board,</s_text><sep/><s_text>Louis Shomette, Executive Director[3]</s_text></s_node-5></s_node-4><sep/><s_text></s_text><s_node-4><s_text>Formation August 12, 1988</s_text><sep/><s_text>Headquarters 1800 Massachusetts Ave. NW</s_text><s_node-5><s_text>Suite 402</s_text><sep/><s_text>Washington, D.C.,</s_text></s_node-5><sep/><s_text>President</s_text><s_node-5><s_text>Shinobu Kitayama</s_text></s_node-5></s_node-4></s_node-3></s_node-2><sep/><s_text>Divisions</s_text><s_node-2><s_text>Society for General Psychology – the first division formed by the APA, in 1945, concerned with issues across the subdisciplines of psychology[37]</s_text><sep/><s_text>Society for the Teaching of Psychology – provides free teaching material for students and teachers of psychology and bestows many awards[38]</s_text><sep/><s_text>Society for Experimental Psychology and Cognitive Science</s_text><sep/><s_text>Currently vacant – initially the Psychometric Society, which decided against becoming an APA division[39]</s_text><sep/><s_text>Quantitative and Qualitative Methods – previously named Evaluation, Measurement, and Statistics[40]</s_text><sep/><s_text>Behavioral Neuroscience and Comparative Psychology</s_text><sep/><s_text>Developmental Psychology</s_text><sep/><s_text>Society for Personality and Social Psychology</s_text><sep/><s_text>Society for the Psychological Study of Social Issues (SPSSI)</s_text><sep/><s_text>Society for the Psychology of Aesthetics, Creativity and the Arts</s_text><sep/><s_text>Currently vacant – initially Abnormal Psychology and Psychotherapy, which joined division 12 in 1946[39]</s_text><sep/><s_text>Society of Clinical Psychology – established in 1948 with 482 members, in 1962 it created clinical child psychology as its first section[41]</s_text><sep/><s_text>Society of Consulting Psychology</s_text><sep/><s_text>Society for Industrial and Organizational Psychology</s_text><sep/><s_text>Educational Psychology</s_text><sep/><s_text>School Psychology – originally formed as the Division of School Psychologists in 1945, renamed in 1969[42]</s_text><sep/><s_text>Society of Counseling Psychology</s_text><sep/><s_text>Psychologists in Public Service</s_text><sep/><s_text>Society for Military Psychology</s_text><sep/><s_text>Adult Development and Aging</s_text><sep/><s_text>Applied Experimental and Engineering Psychology</s_text><sep/><s_text>Rehabilitation Psychology</s_text><sep/><s_text>Society for Consumer Psychology</s_text><sep/><s_text>Society for Theoretical and Philosophical Psychology</s_text><sep/><s_text>Behavior Analysis</s_text><sep/><s_text>Society for the History of Psychology</s_text><sep/><s_text>Society for Community Research and Action: Division of Community Psychology</s_text><sep/><s_text>Psychopharmacology and Substance Abuse</s_text><sep/><s_text>Psychotherapy</s_text><sep/><s_text>Society of Psychological Hypnosis</s_text><sep/><s_text>State, Provincial and Territorial Psychological Association Affairs</s_text><sep/><s_text>Society for Humanistic Psychology</s_text><sep/><s_text>Intellectual and Developmental Disabilities / Autism Spectrum Disorder</s_text><sep/><s_text>Society for Environmental, Population and Conservation Psychology</s_text><sep/><s_text>Society for the Psychology of Women</s_text><sep/><s_text>Society for the Psychology of Religion and Spirituality</s_text><sep/><s_text>Society for Child and Family Policy and Practice</s_text><sep/><s_text>Health Psychology</s_text><sep/><s_text>Psychoanalysis</s_text><sep/><s_text>Clinical Neuropsychology</s_text><sep/><s_text>American Psychology-Law Society</s_text><sep/><s_text>Psychologists in Independent Practice</s_text><sep/><s_text>Society for Family Psychology</s_text><sep/><s_text>Society for the Psychological Study of Lesbian, Gay, Bisexual and Transgender Issues</s_text><sep/><s_text>Society for the Psychological Study of Ethnic Minority Issues</s_text><sep/><s_text>Media Psychology</s_text><sep/><s_text>Exercise and Sport Psychology</s_text><sep/><s_text>Society for the Study of Peace, Conflict, and Violence: Peace Psychology Division</s_text><sep/><s_text>Society of Group Psychology and Group Psychotherapy</s_text><sep/><s_text>Society of Addiction Psychology</s_text><sep/><s_text>Society for the Psychological Study of Men and Masculinities</s_text><sep/><s_text>International Psychology</s_text><sep/><s_text>Society of Clinical Child & Adolescent Psychology</s_text><sep/><s_text>Society of Pediatric Psychology</s_text><sep/><s_text>American Society for the Advancement of Pharmacotherapy</s_text><sep/><s_text>Trauma Psychology – addresses issues of trauma with projects, working groups and via collaborations[43]</s_text></s_node-2><sep/><s_text>Warfare and the use of torture</s_text><s_node-2><s_text>A year after the establishment of the Human Resources Research Organization by the U.S. military in 1951, the CIA began funding numerous psychologists (and other scientists) in the development of psychological warfare methods under the supervision of APA treasurer Meredith Crawford. Donald O. Hebb, the APA president in 1960 who was awarded the APA Distinguished Scientific Contribution Award in 1961, defended the torture of research subjects, arguing that what was being studied was other nations' methods of brainwashing. Former APA president Martin Seligman spoke upon the invitation of the CIA on his animal experimentation where he shocked a dog unpredictably and repeatedly into total, helpless passivity. Former APA president Ronald F. Levant, upon visiting Guantanamo Bay, affirmed that psychologists were present during the torture of prisoners, arguing that their presence was to "add value and safeguards" to interrogations.[62] Former APA president Gerald Koocher argued, referring to allegations of continuing systemic abuse by psychologists, that such allegations were originating from "opportunistic commentators masquerading as scholars".[63]</s_text><sep/><s_text>When it emerged that psychologists, as part of the Behavioral Science Consultation Team, were advising interrogators in Guantánamo and other U.S. facilities on improving the effectiveness of the "enhanced interrogation techniques", the APA called on the U.S. government to prohibit the use of unethical interrogation techniques and labeled specific techniques as torture.[64] Critics pointed out that the APA declined to advise its members not to participate in such interrogations.[65][66] In September 2008, the APA's members passed a resolution stating that psychologists may not work in settings where "persons are held outside, or in violation of, either International Law (e.g., the UN Convention Against Torture and the Geneva Conventions) or the U.S. Constitution (where appropriate), unless they are working directly for the persons being detained or for an independent third party working to protect human rights."[67] The resolution became official APA policy in February 2009. However, the APA has refused to sanction those members known to have participated in and, in some cases, designed abusive interrogation techniques used in Guantanamo Bay, Iraq, and Afghanistan interrogation centers.[68][69][70]</s_text><sep/><s_text>The APA directive was in contrast to the American Psychiatric Association ban in May 2006 of all direct participation in interrogations by psychiatrists,[71] and the American Medical Association ban in June 2006 of the direct participation in interrogations by physicians.[72] An independent panel of medical, military, ethics, education, public health, and legal professionals issued a comprehensive report in November 2013 that "charged that U.S. military and intelligence agencies directed doctors and psychologists working in U.S. military detention centers to violate standard ethical principles and medical standards to avoid infliction of harm".[73] One group of psychologists in particular, the Coalition for an Ethical Psychology, has been very harsh in its criticism of the APA stance on its refusal to categorically prohibit members from participating in any phase of military interrogations. They recently stated their continuing disagreement with APA leadership in an open letter posted on their website on October 31, 2012, in which they reiterated their condemnation of torture and enhanced interrogation techniques, and called for the APA to require its members to refuse participation in military conducted interrogations of any kind.[74]</s_text></s_node-2></s_node-1></s_node-0></s_map>


[User] <image>

[User] Present the information from the mind map in the image in the form of tree-structured data.

[Assistant] <s_map><s_node-0><s_text>Smart Programming Using Prolog</s_text><s_node-1><s_text>Course Details</s_text><s_node-2><s_text>Number: CpE403</s_text><sep/><s_text>Instructor: Abdullah Mutawa</s_text><s_node-3><s_text>Office: 14KH</s_text><sep/><s_text>OH: 10am-1:00pm</s_text><sep/><s_text>Office phone: 4987160</s_text><sep/><s_text>SMS Mobile: 99177629</s_text></s_node-3><sep/><s_text>Text Book</s_text><s_node-3><s_text>Name: Prolog Programming for Artificial Intelligence</s_text><sep/><s_text>Author: Ivan Bratko</s_text><sep/><s_text>Issue: 3rd</s_text></s_node-3><sep/><s_text>Grading Policy</s_text><s_node-3><s_text>HW: 10%</s_text><sep/><s_text>Quiz: 5</s_text><sep/><s_text>Participation: 5</s_text><sep/><s_text>Project: 30%</s_text><sep/><s_text>Final exam: 30</s_text><sep/><s_text>Midterms: 20</s_text></s_node-3></s_node-2><sep/><s_text>Introduction to AI</s_text><s_node-2><s_text>What is AI ?</s_text><s_node-3><s_text>تعريف الذكاء</s_text><s_node-4><s_text>استنتاج الحل بسرعة</s_text><sep/><s_text>استحداث افعال غير موجودة من قبل</s_text><sep/><s_text>استنتاج افضل الحلول</s_text><sep/><s_text>إيجاد علاقات وربط بين عناصر</s_text></s_node-4></s_node-3><sep/><s_text>The Turning Test</s_text><sep/><s_text>Rational Agents</s_text><sep/><s_text>Human Intelligence vs AI</s_text><sep/><s_text>Is is Artificial Intelligence anymore ?</s_text></s_node-2><sep/><s_text>1. Introduction to Prolog</s_text><s_node-2><s_text>1.1 Facts</s_text><sep/><s_text>1.2 Rules (to represent relations)</s_text><sep/><s_text>1.3 Recursive Rules</s_text><sep/><s_text>1.6 Declarative vs Procedural meanning of programs</s_text></s_node-2><sep/><s_text>2. Syntax and Meaning of Prolog Programs</s_text><s_node-2><s_text>2.1 Data objects</s_text><s_node-3><s_text>Atoms and numbers</s_text><sep/><s_text>Variables</s_text><sep/><s_text>Structures</s_text></s_node-3><sep/><s_text>2.2 Matching</s_text><sep/><s_text>2.3 Declarative meaning of Prolog programs</s_text><sep/><s_text>2.5 Example</s_text><s_node-3><s_text>Type and try Nani Adventure from Amzi site give a sample run output, draw a new map and hide Nani somewhere and give your output as well</s_text></s_node-3><sep/><s_text>2.6 Order of clauses and goals</s_text></s_node-2><sep/><s_text>3. List, Operators, Arithmetic</s_text><s_node-2><s_text>3.1 List Representation</s_text><sep/><s_text>3.2 List Operations</s_text><s_node-3><s_text>Membership</s_text><sep/><s_text>Concatenation</s_text><sep/><s_text>Add</s_text><sep/><s_text>Delete</s_text><sep/><s_text>Sublist</s_text><sep/><s_text>Permutation</s_text><sep/><s_text>子主题</s_text></s_node-3><sep/><s_text>3.3 Operator notation</s_text><sep/><s_text>3.4 Arithmetic</s_text></s_node-2><sep/><s_text>4. Using Structures</s_text><s_node-2><s_text>4.1 Retrieving structured information from DB</s_text><sep/><s_text>4.2 Data Abstraction</s_text><sep/><s_text>Map Coloring</s_text><s_node-3><s_text>Prolog Tutorial -- 2.1</s_text></s_node-3><sep/><s_text>Truth Table Maker</s_text><s_node-3><s_text>Prolog Tutorial -- 2.13</s_text></s_node-3></s_node-2><sep/><s_text>5. Controlling Backtracking</s_text><s_node-2><s_text>5.1 Preventing backtracking</s_text><sep/><s_text>5.2 Examples Using Cut</s_text><sep/><s_text>5.3 Negation as failure</s_text><sep/><s_text>5.4 Problems with cut and negation</s_text></s_node-2><sep/><s_text>6. Input and Output</s_text><s_node-2><s_text>6.1 see, seen, tell, told</s_text><sep/><s_text>6.2 read, write, tab</s_text><sep/><s_text>6.3 put, get, get0</s_text><sep/><s_text>6.4 name</s_text><sep/><s_text>6.5 consult</s_text></s_node-2><sep/><s_text>7. More Built-in Predicates</s_text><s_node-2><s_text>7.1 Type testing</s_text><sep/><s_text>7.2 =.., functior, arg,</s_text><sep/><s_text>7.3 equality and comparison</s_text><sep/><s_text>7.4 asserta, assertz, retract</s_text><sep/><s_text>7.5 Control facilities</s_text><sep/><s_text>7.6 bagof, setof, and findall</s_text></s_node-2><sep/><s_text>11. Basic Problem Solving Strategies</s_text><s_node-2><s_text>11.1 Introductory concepts</s_text><sep/><s_text>11.2 DFS and IDS</s_text><sep/><s_text>11.3 BFS</s_text><sep/><s_text>11.4 analysis of search techniques</s_text></s_node-2><sep/><s_text>12. Best-First Heuristic Search</s_text><s_node-2><s_text>12.1 BFS</s_text><sep/><s_text>12.3 BFS implementation</s_text><sep/><s_text>12.4 A*, IDA*, RBFS</s_text></s_node-2><sep/><s_text>13. And/Or Graphs</s_text><s_node-2><s_text>13.1 And/Or graph representation of problems</s_text><sep/><s_text>13.2 Examples</s_text><sep/><s_text>13.3 Basic search procedures</s_text><sep/><s_text>13.4 BF and/or search</s_text></s_node-2><sep/><s_text>15. Knowledge Rep. and Expert Systems</s_text><s_node-2><s_text>15.1 Functions and structures of Expert Sys.</s_text><sep/><s_text>15.2 Representing knowledge with if-then rules</s_text><sep/><s_text>15.3 Forward and backward chaining</s_text><sep/><s_text>15.4 Generating explanation</s_text><sep/><s_text>15.6 Belief networks</s_text><sep/><s_text>15.7 Semantic networks and frames</s_text></s_node-2><sep/><s_text>Flex shell</s_text><sep/><s_text>Advance topics</s_text><s_node-2><s_text>Natural Language Processing</s_text><s_node-3><s_text>DCG Notation</s_text></s_node-3><sep/><s_text>Planning</s_text><sep/><s_text>Machine Learning</s_text><sep/><s_text>Neural networks</s_text><sep/><s_text>Genetic Algorithms</s_text></s_node-2></s_node-1></s_node-0></s_map>


[User] <image>

[User] Convert the mind map information in the image into a readable structured output.

[Assistant] <s_map><s_node-0><s_text>Par Nancy Duarte un index visuel</s_text><s_node-1><s_text>INTRO p3-8</s_text><s_node-2><s_text>La Communication a changé</s_text><sep/><s_text>La communication courte est la nouvelle norme</s_text><sep/><s_text>Les utilisateurs attendent mieux</s_text><sep/><s_text>Slidedocs: un nouveau média</s_text><sep/><s_text>En fait, ce livre est un Slidedoc</s_text><sep/><s_text>Vous avez besoin d'un Slidedoc si...</s_text></s_node-2><sep/><s_text>01 Pourquoi les Slidedocs p9-36</s_text><s_node-2><s_text>Le Besoin de Conversations</s_text><s_node-3><s_text>Les présentations sont familières</s_text><sep/><s_text>Le bon outil pour le bon travail</s_text><sep/><s_text>La conversation crée le consensus</s_text><s_node-4><s_text>citation de Sir Richard Branson sur les conversations</s_text></s_node-4><sep/><s_text>Présentations et Conversations</s_text></s_node-3><sep/><s_text>Ré-introduction du Slidedoc</s_text><s_node-3><s_text>Les documents sont denses</s_text><sep/><s_text>Les Slidedocs comblent le vide entre documents et présentations</s_text><sep/><s_text>Qu'est-ce qu'un Slidedoc ?</s_text><sep/><s_text>Comment utiliserez-vous les Slidedocs</s_text><s_node-4><s_text>citation de Sheryl Sandberg sur les réunions</s_text></s_node-4><sep/><s_text>Le logiciel de présentation est le bon outil pour ce travail</s_text><s_node-4><s_text>bénéfices des logiciels de diapos</s_text></s_node-4></s_node-3><sep/><s_text>Faire le lien avec votre Public</s_text><s_node-3><s_text>Utilisez le bon outil pour le travail</s_text><sep/><s_text>Les Slidedocs sont mieux pour le public</s_text><s_node-4><s_text>citation de Jeff Weiner sur l'élimination des présentations</s_text></s_node-4><sep/><s_text>Diffusez vos bonnes idées</s_text><sep/><s_text>Trois façons de produire des Slidedocs efficaces</s_text><s_node-4><s_text>Convertir des Documents en Slidedocs étude de cas dessous</s_text><sep/><s_text>Convertir du Texte de Prompteur en Slidedocs étude de cas sur l'ajout du contenu p58-63</s_text><sep/><s_text>Convertir des Diapositivess en Slidedocs étude de cas p149-154</s_text></s_node-4><sep/><s_text>Etude de Cas: convertir des Documents en Slidedocs</s_text></s_node-3></s_node-2><sep/><s_text>02 Ecriture d'un Slidedoc p37-98</s_text><s_node-2><s_text>Création du Contenu</s_text><s_node-3><s_text>Connaissez votre public</s_text><sep/><s_text>Posez votre idée maitresse</s_text><sep/><s_text>Unifiez autour d'un point</s_text><sep/><s_text>Longueur recommandée des Slidedocs</s_text><sep/><s_text>Vendez votre idée avec un très bon texte</s_text><s_node-4><s_text>Ayez un processus éditorial</s_text><s_node-5><s_text>Etape 1: Idées</s_text><sep/><s_text>Etape 2: Création</s_text><sep/><s_text>Etape 3: Finitions</s_text></s_node-5><sep/><s_text>Ecrivez du texte pour une lecture rapide</s_text><sep/><s_text>La concision paie</s_text><sep/><s_text>Développez des titres qui ont du sens</s_text><sep/><s_text>L'opportunité d'une structure thématique forte</s_text><sep/><s_text>Suivez des bonnes pratiques d'écriture</s_text><sep/><s_text>Ecrivez un texte convaincant</s_text><sep/><s_text>Enlevez le superflu et amplifiez l'essentiel</s_text><sep/><s_text>Coupez l'information en petits morceaux</s_text></s_node-4><sep/><s_text>Etude de Cas: Conversion de Diapositives Denses</s_text><sep/><s_text>Critiquez pour atteindre l'excellence</s_text><sep/><s_text>Ecrivez une introduction ou un résumé</s_text><s_node-4><s_text>citation de Jeff Bezos sur le mémo de 6 pages</s_text></s_node-4></s_node-3><sep/><s_text>Architecture d'un Slidedoc</s_text><s_node-3><s_text>Ce qu'on peut apprendre des livres</s_text><s_node-4><s_text>Couverture</s_text><sep/><s_text>Table des Matières</s_text><sep/><s_text>Haut et Bas de page</s_text><sep/><s_text>Têtes de section</s_text><sep/><s_text>Identifiants de section</s_text><sep/><s_text>Mise en valeur du texte</s_text></s_node-4><sep/><s_text>Un lien fort entre texte et images</s_text><sep/><s_text>Navigation interactive</s_text><sep/><s_text>La section finale</s_text><sep/><s_text>Les Slidedocs sont interactifs</s_text></s_node-3><sep/><s_text>Données et Diagrammes clarifient le Contenu</s_text><s_node-3><s_text>Les données créent du sens</s_text><sep/><s_text>Aller à l'essentiel</s_text><sep/><s_text>Montrer ce qui est important</s_text><sep/><s_text>Les diagrammes montrent les relations</s_text><s_node-4><s_text>Taxinomie des diagrammes</s_text><sep/><s_text>Diagrammes gratuits sur diagrammer.com</s_text></s_node-4><sep/><s_text>Etude de Cas: SAP Top 10</s_text></s_node-3></s_node-2><sep/><s_text>This mind map was downloaded from www.biggerplate.com</s_text><s_node-2><s_text>Find more mind maps in our library</s_text><sep/><s_text>Follow us on Twitter</s_text><sep/><s_text>Find us on Facebook</s_text></s_node-2><sep/><s_text>03 Design d'un Slidedoc p99-136</s_text><s_node-2><s_text>Unification par les Systèmes Visuels</s_text><s_node-3><s_text>Les Slidedocs permettent des conversations visuelles</s_text><sep/><s_text>Etablir un langage visuel</s_text><sep/><s_text>Modèles de présentations gratuits</s_text><s_node-4><s_text>sur slidedocs.com</s_text></s_node-4><sep/><s_text>Rendre les Slidedocs facilement identifiables</s_text><sep/><s_text>Rendre les Slidedocs distincts</s_text><sep/><s_text>Etude de Cas: "Le Pouvoir d'une Histoire"</s_text><sep/><s_text>Quand le formattage devrait être fait par un pro</s_text></s_node-3><sep/><s_text>Les Grilles donnent de la Structure</s_text><s_node-3><s_text>Tout a été fait avec une structure</s_text><sep/><s_text>Les grilles créent une organisation cohérente</s_text></s_node-3><sep/><s_text>Respirer avec le Blanc</s_text><s_node-3><s_text>Votre contenu a besoin d'espace pour respirer</s_text><sep/><s_text>Les marques de luxe utilisent le Blanc</s_text></s_node-3><sep/><s_text>La Typographie amplifie les Points Importants</s_text><s_node-3><s_text>Pourquoi la Typographie est importante</s_text><sep/><s_text>Formattage de pro</s_text><sep/><s_text>Hiérarchie du texte</s_text><sep/><s_text>Mise en page du texte</s_text><sep/><s_text>Lisibilité sur petit écran</s_text><sep/><s_text>Tester vos diapositives</s_text><sep/><s_text>Références pour l'affichage visuel de l'information</s_text><s_node-4><s_text>Presentation Zen</s_text><sep/><s_text>slide:ology</s_text></s_node-4></s_node-3></s_node-2><sep/><s_text>04 Diffusion d'un Slidedoc p137-158</s_text><s_node-2><s_text>Impression et Projection de Slidedocs</s_text><s_node-3><s_text>Votre travail est de communiquer</s_text><sep/><s_text>Impression de Slidedocs</s_text><sep/><s_text>Projection de Slidedocs</s_text><sep/><s_text>Les mauvaises habitudes sont dures à oublier mais oubliez-les Ne présentez par oralement les Slidedocs</s_text></s_node-3><sep/><s_text>Distribution de Slidedocs</s_text><s_node-3><s_text>Distribution en ligne SlideShare</s_text><s_node-4><s_text>intégré</s_text><sep/><s_text>partagé</s_text><sep/><s_text>par e-mail</s_text></s_node-4><sep/><s_text>Utilisation pour des Webinars</s_text><sep/><s_text>Lecture sur des appareils</s_text><sep/><s_text>Le danger de faire circuler des présentations éthérées</s_text></s_node-3><sep/><s_text>Etude de Cas: Du Spectaculaire au Slidedoc</s_text><s_node-3><s_text>Des diapositives simples nécessitent des notes</s_text><sep/><s_text>Modification du gabarit de notes</s_text><sep/><s_text>Les Slidedocs peuvent voyager avec une annexe</s_text><sep/><s_text>Un format horizontal est aussi une option!</s_text></s_node-3><sep/><s_text>Partagez des Grandes Idées avec les Slidedocs</s_text><s_node-3><s_text>Les présentations permettent de diffuser les Slidedocs</s_text><sep/><s_text>Bénéfices de la diffusion de Slidedocs</s_text><sep/><s_text>Les Slidedocs améliorent la communication</s_text><sep/><s_text>Votre dur labeur sera récompensé</s_text></s_node-3></s_node-2><sep/><s_text>A propos</s_text><s_node-2><s_text>original</s_text><s_node-3><s_text>Nancy Duarte</s_text><sep/><s_text>2014</s_text><sep/><s_text>165 pages</s_text><sep/><s_text>PowerPoint</s_text><sep/><s_text>en anglais</s_text><s_node-4><s_text>sur le site Duarte</s_text></s_node-4><sep/><s_text>traduit en français par Eric Bouchet</s_text><s_node-4><s_text>sur slideshare.net</s_text></s_node-4></s_node-3><sep/><s_text>mindmap</s_text><s_node-3><s_text>Eric Bouchet</s_text><sep/><s_text>2014</s_text><sep/><s_text>Creative Common Attribution Non-Commercial 3.0</s_text></s_node-3></s_node-2></s_node-1></s_node-0></s_map>


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[User] Parse this mind map and present its content in a structured way.

[Assistant] <s_map><s_node-0><s_text>Asian Historical Periods</s_text><s_node-1><s_text>Indian Historical Periods</s_text><s_node-2><s_text>1 Vedic Period c. 1500–600 BCE</s_text><sep/><s_text>2 Bimbisara Dynasty c. 684–413 BCE</s_text><sep/><s_text>3 śramaṇa movements c. 600–400 BCE</s_text><sep/><s_text>4 Śiśunāga Empire c. 413–345 BCE</s_text><sep/><s_text>5 Nanda Empire c. 424–321 BCE</s_text><sep/><s_text>6 Maurya Empire c. 322–185 BCE</s_text><sep/><s_text>7 Mahāmeghavahana Dynasty c. 250 BCE–400 CE</s_text><sep/><s_text>8 Śātavāhana Empire c. 230 BCE–220 CE</s_text><sep/><s_text>9 Indo-Greek Kingdoms c. 200 BCE– 50 CE</s_text><sep/><s_text>10 Kulinda Kingdom c. 200–100 BCE</s_text><sep/><s_text>11 Cōḷa Dynasty c. 205 BCE–1279 CE</s_text><sep/><s_text>12 Śuṅga Empire c. 187–71 BCE</s_text><sep/><s_text>13 Śaka Kingdom c. 100–30 BCE</s_text><sep/><s_text>14 Kuṣāṇa Empire c. 30–375 CE</s_text><sep/><s_text>15 Gupta Empire c. 320–540 CE</s_text><sep/><s_text>16 Pāla Empire 750–1174 CE</s_text><sep/><s_text>17 Rāṣṭrakūṭa Dynasty 753–982 CE</s_text><sep/><s_text>18 Hoysala Empire 1026–1343 CE</s_text></s_node-2><sep/><s_text>Korean Historical Periods</s_text><s_node-2><s_text>1 Ko-Chosŏn 古朝鮮 ?– 08 BCE</s_text><sep/><s_text>2 Proto–Three Kingdoms 原三國時代 3rd cent. BCE–4th cent. CE</s_text><s_node-3><s_text>2.1 Puyŏ 夫餘 2nd cent. BCE–494CE</s_text><sep/><s_text>2.2 Okchŏ 沃沮 2nd cent. BCE–3rd cent. CE</s_text><sep/><s_text>2.3 Tongye 東濊 3rd cent. BCE–3rd cent. CE</s_text><sep/><s_text>2.4 Mahan 馬韓 1st cent. BCE–3rd cent. CE</s_text><sep/><s_text>2.5 Chinhan 辰韓 1st cent. BCE–4th cent. CE</s_text><sep/><s_text>2.6 Pyŏnhan 弁韓 1st cent.–4th cent.CE</s_text></s_node-3><sep/><s_text>3 Three Kingdoms 三國 1st cent. BCE–668CE</s_text><s_node-3><s_text>3.1 Koguryŏ 高句麗 37 BCE–668 CE</s_text><sep/><s_text>3.2 Paekche 百濟 18 BCE–660 CE</s_text><sep/><s_text>3.3 Silla 新羅 57 BCE–668 CE (continues to 935)</s_text><sep/><s_text>3.4 Kaya 伽倻 42–562</s_text></s_node-3><sep/><s_text>4 North-South States 698–926</s_text><s_node-3><s_text>4.1 Parhae 渤海 698–926</s_text><sep/><s_text>4.2 Unified Silla 統一新羅 668–935</s_text></s_node-3><sep/><s_text>5 Later Three Kingdoms 後三國 892–936</s_text><s_node-3><s_text>5.1 Unified Silla 統一新羅 (continues to 935)</s_text><sep/><s_text>5.2 Later Paekche 後百濟 892–936</s_text><sep/><s_text>5.3 Later Koguryŏ 後高句麗 901–918</s_text></s_node-3><sep/><s_text>6 Koryŏ 高麗 918–1392</s_text><sep/><s_text>7 Chosŏn 朝鮮 1397–1897</s_text><sep/><s_text>8 Korean Empire 大韓帝國 1897–1910</s_text><sep/><s_text>9 Japanese Colonial Period 1910–1945</s_text><sep/><s_text>10 North and South Korea 1948–present</s_text></s_node-2><sep/><s_text>Japanese Historical Periods</s_text><s_node-2><s_text>1 Yayoi 弥生 300 BCE–300 CE</s_text><sep/><s_text>2 Kofun 古墳 300–538</s_text><sep/><s_text>3 Asuka 飛鳥 538–710</s_text><sep/><s_text>4 Nara 奈良 710–794</s_text><sep/><s_text>5 Heian 平安 794–1185</s_text><sep/><s_text>6 Kamakura 鎌倉 1185–1333</s_text><sep/><s_text>7 Kenmu Restoration 建武の新政 1333–1336</s_text><sep/><s_text>8 Muromachi 室町 1337–1573</s_text><sep/><s_text>9 Azuchi–Mamoyama 安土桃山 1537–1603</s_text><sep/><s_text>10 Edo 江戸 1603–1868</s_text><sep/><s_text>11 Meiji 明治 1868–1912</s_text><sep/><s_text>12 Taishō 大正 1912–1926</s_text><sep/><s_text>13 Shōwa 昭和 1926–1986</s_text><sep/><s_text>14 Heisei 平成 1986–present</s_text></s_node-2><sep/><s_text>This mind map was downloaded from www.biggerplate.com</s_text><s_node-2><s_text>Find more mind maps in our library</s_text><sep/><s_text>Follow us on Twitter</s_text><sep/><s_text>Find us on Facebook</s_text></s_node-2><sep/><s_text>Chinese Historical Periods</s_text><s_node-2><s_text>1 Shang 商 c. 1600 BCE–1046</s_text><sep/><s_text>2 Zhou 周 c. 1046 BCE–256</s_text><sep/><s_text>3 Qin 秦 221 BCE–206</s_text><sep/><s_text>4 Western Han 西漢 206 BCE–9 CE</s_text><sep/><s_text>5 Western Han 西漢 206 BCE–9 CE</s_text><sep/><s_text>6 Eastern Han 東漢 25–220 CE</s_text><sep/><s_text>7 Three Kingdoms 三國 220–280</s_text><s_node-3><s_text>7.1 Wei 魏 220–265</s_text><sep/><s_text>7.2 Shu 蜀 221–263</s_text><sep/><s_text>7.3 Wu ￼吳 229–280</s_text></s_node-3><sep/><s_text>8 Western Jin 西晉 265–316</s_text><sep/><s_text>9 Sixteen Kingdoms 十￼國 304–439</s_text><s_node-3><s_text>9.1 Former Zhao 前趙 304–329</s_text><sep/><s_text>9.2 Later Zhao 後趙 319–351</s_text><sep/><s_text>9.3 Cheng Han 成漢 304–347</s_text><sep/><s_text>9.4 Former Liang前涼 320–376</s_text><sep/><s_text>9.5 Later Liang 後凉 386–403</s_text><sep/><s_text>9.6 Northern Liang 北凉 397–439</s_text><sep/><s_text>9.7 Western Liang 西涼 400–421</s_text><sep/><s_text>9.8 Southern Liang 南凉 397–414</s_text><sep/><s_text>9.9 Former Yan 前燕 337–370</s_text><sep/><s_text>9.10 Later Yan 後燕 384–409</s_text><sep/><s_text>9.11 Northern Yan 北燕 407–436</s_text><sep/><s_text>9.12 Southern Yan 南燕 398–410</s_text><sep/><s_text>9.13 Former Qin 前秦 351–394</s_text><sep/><s_text>9.14 Later Qin 後秦 384–417</s_text><sep/><s_text>9.15 Western Qin 西秦 409–431</s_text><sep/><s_text>9.16 Xia 夏 407–431</s_text></s_node-3><sep/><s_text>10 Eastern Jin 東晉 317–420</s_text><sep/><s_text>11 Southern and Northern Dynasties 南北朝 420–588</s_text><s_node-3><s_text>11.1 Southern</s_text><s_node-4><s_text>11.1.1 Liu Song 劉宋 420–478</s_text><sep/><s_text>11.1.2 Southern Qi 南齊 479–501</s_text><sep/><s_text>11.1.3 Southern Qi 南齊 479–501</s_text><sep/><s_text>11.1.4 Chen 陳 557–588</s_text></s_node-4><sep/><s_text>11.2 Northern</s_text><s_node-4><s_text>11.2.1 Northern Wei 北魏 386–533</s_text><sep/><s_text>11.2.2 Eastern Wei 東魏</s_text><sep/><s_text>11.2.3 Western Wei 西魏 535–557</s_text><sep/><s_text>11.2.4 Northern Qi 北齊 550–577</s_text><sep/><s_text>11.2.5 Northern Zhou 北周 557–581</s_text></s_node-4></s_node-3><sep/><s_text>12 Sui 隋 581–618</s_text><sep/><s_text>13 Tang 唐 618–907</s_text><sep/><s_text>14 Five Dynasties and Ten Kingdoms 五代十國 907–979</s_text><s_node-3><s_text>14.1 Five Dynasties</s_text><s_node-4><s_text>14.1.1 Later Liang 後梁 907–923</s_text><sep/><s_text>14.1.2 Later Tang 後唐 923–936</s_text><sep/><s_text>14.1.3 Later Jin 後晉 936–946</s_text><sep/><s_text>14.1.4 Later Han 後漢 947–950</s_text><sep/><s_text>14.1.5 Later Zhou 後周 951–960</s_text></s_node-4><sep/><s_text>14.2 Ten Kingdoms</s_text><s_node-4><s_text>14.2.1 Wu 吳￼ 907–937</s_text><sep/><s_text>14.2.2 Wuyue ￼吳 越 907–978</s_text><sep/><s_text>14.2.3 Min 閩 909–945</s_text><sep/><s_text>14.2.4 Chu 楚 907–951</s_text><sep/><s_text>14.2.5 Southern Han 南漢 917–971</s_text><sep/><s_text>14.2.6 Former Shu 前蜀 907–925</s_text><sep/><s_text>14.2.7 Later Shu 後蜀 934–965</s_text><sep/><s_text>14.2.8 Jingnan 荊南 924–963</s_text><sep/><s_text>14.2.9 Southern Tang南唐 937–975</s_text><sep/><s_text>14.2.10 Northern Han 北漢 951–979</s_text></s_node-4></s_node-3><sep/><s_text>15 Liao 遼 907–1125</s_text><sep/><s_text>16 Song 宋 960–1279</s_text><s_node-3><s_text>16.1 Northern Song 北宋 960–1127</s_text><sep/><s_text>16.1 Southern Song 南宋 1127–1279</s_text></s_node-3><sep/><s_text>17 Western Xia 西夏 1038–1227</s_text><sep/><s_text>18 Jin ￼金朝 1115–1234</s_text><sep/><s_text>19 Yuan 元 1271–1368</s_text><sep/><s_text>20 Ming 明 1368–1644</s_text><sep/><s_text>21 Qing 淸 1644–1911</s_text><sep/><s_text>22 Republic of China 中華民國 (mainland) 1912–1949</s_text><sep/><s_text>23 Republic of China 中華民國 (Taiwan) 1949–present</s_text><sep/><s_text>24 People’s Republic of China 中華人民共和國 1949–present</s_text><sep/><s_text>25 Chinese Cultural Revolution 1966–1976</s_text></s_node-2></s_node-1></s_node-0></s_map>


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[Assistant] <s_map><s_node-0><s_text>Information and Information Sources</s_text><s_node-1><s_text>Importance of Information</s_text><s_node-2><s_text>2 Parts</s_text><s_node-3><s_text>Gathering</s_text><sep/><s_text>Interpretation</s_text></s_node-3><sep/><s_text>Uses</s_text><s_node-3><s_text>Basis for customer segmentation</s_text><sep/><s_text>Identifying market trends</s_text><sep/><s_text>Forming/deepening customer relationships</s_text><sep/><s_text>Understanding industry patterns</s_text><sep/><s_text>Understanding competitive environment</s_text></s_node-3></s_node-2><sep/><s_text>Financial Information</s_text><s_node-2><s_text>Types</s_text><s_node-3><s_text>Balance Sheet: Cash Flow</s_text><sep/><s_text>Turnover & Profit</s_text><sep/><s_text>Financial State: Assets, Debts</s_text><sep/><s_text>Rate of Growth</s_text><sep/><s_text>Export Performance</s_text></s_node-3><sep/><s_text>Sources</s_text><s_node-3><s_text>Company annual accounts</s_text><sep/><s_text>Company registration office website</s_text><sep/><s_text>Commercial databases</s_text><sep/><s_text>Quality financial press</s_text><sep/><s_text>Credit refrence agencies</s_text></s_node-3></s_node-2><sep/><s_text>Organisational Information</s_text><s_node-2><s_text>Types</s_text><s_node-3><s_text>Problems and Opportunities</s_text><sep/><s_text>Key Decision-Makers</s_text><sep/><s_text>New posts and recruitment patterns</s_text><sep/><s_text>Investments, new verntures, closures</s_text><sep/><s_text>Take-overs and acquisitions</s_text></s_node-3><sep/><s_text>Sources</s_text><s_node-3><s_text>Trade and quality press</s_text><sep/><s_text>Company websites</s_text><sep/><s_text>Common stakeholders</s_text><sep/><s_text>Clandestine Sources</s_text><sep/><s_text>Industrial espionage</s_text></s_node-3></s_node-2><sep/><s_text>This mind map was downloaded from www.biggerplate.com</s_text><s_node-2><s_text>Find more mind maps in our library</s_text><sep/><s_text>Follow us on Twitter</s_text><sep/><s_text>Find us on Facebook</s_text></s_node-2><sep/><s_text>Production & Product Information</s_text><s_node-2><s_text>Types</s_text><s_node-3><s_text>Number of Employees</s_text><sep/><s_text>Product range and quality</s_text><sep/><s_text>Production costs and specifications</s_text><sep/><s_text>Location and scale of operations</s_text><sep/><s_text>New Product development</s_text></s_node-3><sep/><s_text>Sources</s_text><s_node-3><s_text>Trade associations</s_text><sep/><s_text>Chambers of commerce</s_text><sep/><s_text>Consumer associaton</s_text><sep/><s_text>Patents office</s_text><sep/><s_text>Trade events</s_text><sep/><s_text>Networking with stakeholders</s_text></s_node-3></s_node-2><sep/><s_text>Marketing Information</s_text><s_node-2><s_text>Types</s_text><s_node-3><s_text>Price terms and discount structure</s_text><sep/><s_text>Market share</s_text><sep/><s_text>Packaging and delivery</s_text><sep/><s_text>Advertising and promotion</s_text><sep/><s_text>Markeitng policy and plans</s_text></s_node-3><sep/><s_text>Sources</s_text><s_node-3><s_text>Field sales force</s_text><sep/><s_text>Customer interface</s_text><sep/><s_text>Marketing surveys</s_text><sep/><s_text>Networks</s_text><sep/><s_text>Trade press</s_text></s_node-3></s_node-2></s_node-1></s_node-0></s_map>


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[User] Analyze the image and describe in detail the levels and relationships of information in the mind map.

[Assistant] <s_map><s_node-0><s_text>People at  Global Brainstorm 15 Nov 2012</s_text><s_node-1><s_text>Kane Kramer Chairman of British Inventors Society, Inventor mp3 technology</s_text><s_node-2><s_text>Meet Kane Kramer: The Inventor of the iPod</s_text><sep/><s_text>ICE Circle is a unique network of global and industry leaders ...</s_text><sep/><s_text>Tech Weekly podcast: Kane Kramer - the man who invented the ...</s_text><sep/><s_text>Where did the MP3 player come from</s_text><sep/><s_text>Glasses free 3D: A great British invention - Humans Invent</s_text><sep/><s_text>Karaoke machine voted worst gadget ever invented - TECH - Blorge</s_text><sep/><s_text>Steve Jobs: American Exceptionalism</s_text><sep/><s_text>Inspect-a-Gadget: Search Results</s_text><sep/><s_text>Digital audio player - The Full Wiki</s_text><sep/><s_text>Ingenious Britain Making the UK the leading hightech ... - Dyson</s_text></s_node-2><sep/><s_text>Tony Fish Founder Innovation Warehouse, author and entrepreneur</s_text><s_node-2><s_text>SOFE 2011 programme - Swift</s_text><sep/><s_text>Tony Fish - United Kingdom | LinkedIn</s_text><sep/><s_text>Innotribe @SOFE2011, a field trip to the Innovation Warehouse ...</s_text><sep/><s_text>Tony Fish | Big Data World</s_text><sep/><s_text>Online Privacy As Misunderstood As Sex And Religion Says Digital ...</s_text><sep/><s_text>Past events - London Central Branch | BCS - The Chartered Institute ...</s_text><sep/><s_text>Entrepreneurs need just one thing to succeed</s_text><sep/><s_text>Big data world Europe, 19 - 20 September 2012, ETC Venue St ...</s_text><sep/><s_text>My Digital Footprint - Filed under 'speaking'</s_text><sep/><s_text>Breakthrough Entrepreneurship: Jon Burgstone, Bill Murphy Jr ...</s_text></s_node-2><sep/><s_text>Marc Ortmans Founder IdeaspaceGlobal – GEW</s_text><s_node-2><s_text>News | Ideaspace</s_text><sep/><s_text>Saïd Martínez-Calderón | LinkedIn</s_text></s_node-2><sep/><s_text>Brigitte Sumner Founder Yes Group, author, peak performance coach</s_text><s_node-2><s_text>YES Group North</s_text><sep/><s_text>Pop Culture Blog</s_text><sep/><s_text>Michael Bradford | Bobby's Blog</s_text><sep/><s_text>Nashville Music: CMA Music Festival Country's Night to ROCK ...</s_text><sep/><s_text>That's Books: December 2011</s_text><sep/><s_text>Will Sherwood | Facebook</s_text><sep/><s_text>Bill Wolak | Facebook</s_text><sep/><s_text>Madonna Filth And Wisdom Movie</s_text><sep/><s_text>INSIDE - Western Nevada College</s_text><sep/><s_text>Services in July 2012 - The Parish of Morpeth</s_text></s_node-2><sep/><s_text>John Mulholland  Founder Exciting Minds and innovation strategist.</s_text><s_node-2><s_text>John Mulholland - United Kingdom | LinkedIn</s_text><sep/><s_text>John Mulholland profiles | LinkedIn</s_text><sep/><s_text>John Mulholland - United Kingdom profiles | LinkedIn</s_text><sep/><s_text>Mulholland - London, United Kingdom</s_text><sep/><s_text>CacheGOP Blog</s_text><sep/><s_text>Author 101 University - The Must Attend Crash Course for ...</s_text><sep/><s_text>A new and innovative way to access top financial services recruiters</s_text><sep/><s_text>Running a Successful Energy Awareness Campaign</s_text><sep/><s_text>RSS Feed - Innovation Engineering Labs</s_text><sep/><s_text>AFIO - Events</s_text></s_node-2><sep/><s_text>Gemma Thompson Social Media Illumination</s_text><s_node-2><s_text>Upcoming Courses | Social Media Illumination</s_text><sep/><s_text>Social Media Illumination | Facebook</s_text><sep/><s_text>7 Responses to The Social Media Secret the Guru's Never Mention!</s_text><sep/><s_text>Gemma Thompson - United Kingdom | LinkedIn</s_text><sep/><s_text>Gemma Thompson (GemmaThompson) on about.me</s_text><sep/><s_text>Gemma Thompson (gemlthompson) on Pinterest</s_text><sep/><s_text>Woodbridge Social Media Session | Suffolk Twestival 2011</s_text><sep/><s_text>Gemma Thompson (GemLThompson) on Twitter</s_text><sep/><s_text>Event Space NYC - How to Promote Your Event on Facebook - The ...</s_text><sep/><s_text>Naomi johnson, Social media consultant/trainer at Naomi johnson ...</s_text></s_node-2><sep/><s_text>Liam Hughes Founder Biggerplate.com – world’s biggest mind map library</s_text><s_node-2><s_text>liamhughes - Biggerplate</s_text><sep/><s_text>Mind map gallery Biggerplate.com adds support for ConceptDraw ...</s_text><sep/><s_text>Liam Hughes - United Kingdom | LinkedIn</s_text><sep/><s_text>Liam Hughes | The Mindmap Blog</s_text><sep/><s_text>The Biggerplate Blog</s_text><sep/><s_text>Liam Hughes (biggerplate) on Pinterest</s_text><sep/><s_text>Liam Hughes (biggerplate) on Pinterest</s_text><sep/><s_text>Visual Mapping: Meeting Biggerplate's founder Liam Hughes in ...</s_text><sep/><s_text>What Are the Biggerplate Unplugged Events (#BPUN) ?</s_text><sep/><s_text>Mindjet User Profile: Liam Hughes</s_text></s_node-2><sep/><s_text>Andrew Wilcox Cabre Ltd – mind map guru!</s_text><s_node-2><s_text>Interview about Mind Mapping & Software with Andrew Wilcox ...</s_text><sep/><s_text>Increase height MindManager ink input field for extra lines ...</s_text><sep/><s_text>Andy Wilcox - United Kingdom | LinkedIn</s_text><sep/><s_text>Andrew Wilcox talking about Tony Buzan - YouTube</s_text><sep/><s_text>Invite to Mind Mapping Software Presentation at Wired Wessex ...</s_text><sep/><s_text>Mindjet - View topic - Office 2010!</s_text><sep/><s_text>Andrew Phuong | Facebook</s_text><sep/><s_text>Mile Wide or Mile Deep Networking - let's explore - Ecademy</s_text><sep/><s_text>The Cool Hunter - Welcome</s_text><sep/><s_text>Bruce Payne - Wikipedia, the free encyclopedia</s_text></s_node-2><sep/><s_text>Elif Spreadborough Environmental Services - Guest</s_text><s_node-2><s_text>No matches found</s_text></s_node-2><sep/><s_text>Graham Sadd PAOGA - Guest</s_text><s_node-2><s_text>Individuals « Privacy by Design</s_text><sep/><s_text>Computer Weekly Editor's Blog: magazine Archives</s_text><sep/><s_text>Business Cloud Summit 2010 Conference Agenda | CloudTweaks</s_text><sep/><s_text>Applegate Business Directory - All Industry Top People Index</s_text><sep/><s_text>OakLeaf Systems: Windows Azure and Cloud Computing Posts for ...</s_text><sep/><s_text>Personal Data Ecosystem Consortium — We connect companies ...</s_text></s_node-2><sep/><s_text>Martin Hayer NEWCEP Make Your Dream Job Student/Anatomical Aligner</s_text><s_node-2><s_text>No matches found</s_text></s_node-2><sep/><s_text>Malcolm Cook NEWCEP Make Your Dream Job Student/Journalist</s_text><s_node-2><s_text>After $30 Billion Mistake, Can Tim Cook Manage Apple? - Forbes</s_text><sep/><s_text>Steve Jobs - Wikipedia, the free encyclopedia</s_text><sep/><s_text>Community - Omaha.com</s_text><sep/><s_text>New Partnership, More Student Opportunities ... - The Maroon Tiger</s_text><sep/><s_text>WESTLAKE HOSPITAL NAMES NEW CEO, WILLIAM A. BROWN ...</s_text><sep/><s_text>Listen to BC Almanac online</s_text><sep/><s_text>Apple computer « High Tech History</s_text><sep/><s_text>Learning From Others - Cantarella Consulting</s_text><sep/><s_text>blackgivesback: September 2012</s_text><sep/><s_text>Talk Wisdom: Praying For That New Day In America</s_text></s_node-2><sep/><s_text>This mind map was downloaded from www.biggerplate.com</s_text><s_node-2><s_text>Find more mind maps in our library</s_text><sep/><s_text>Follow us on Twitter</s_text><sep/><s_text>Find us on Facebook</s_text></s_node-2><sep/><s_text>Map prepared by Andrew Wilcox Cabre Limited & ConferenceReaction Using Mindjet and Google Search Map Part</s_text></s_node-1></s_node-0></s_map>


[User] <image>

[User] Present the information from the mind map in the image in the form of tree-structured data.

[Assistant] <s_map><s_node-0><s_text>mind mapping without seeing?</s_text><s_node-1><s_text>Digital</s_text><s_node-2><s_text>sound</s_text><s_node-3><s_text>iThoughtsHD for iPad</s_text><s_node-4><s_text>with VoiceOver</s_text><sep/><s_text>@assistivetek</s_text></s_node-4><sep/><s_text>Inspiration software</s_text><s_node-4><s_text>built in talking/listening interface.</s_text><s_node-5><s_text>@VisualLeap</s_text></s_node-5></s_node-4><sep/><s_text>Mind maps can be represented as outlines.</s_text><s_node-4><s_text>Org-mode can make outlines</s_text><s_node-5><s_text>standard download</s_text><sep/><s_text>for OS X</s_text></s_node-5><sep/><s_text>Org-mode files</s_text><s_node-5><s_text>are easy to navigate</s_text><sep/><s_text>are probably well- supported by Emacspeak.</s_text><s_node-6><s_text>verification needed</s_text><sep/><s_text>Emacs info</s_text><s_node-7><s_text>Windows</s_text><sep/><s_text>OS X</s_text><sep/><s_text>Linux</s_text></s_node-7></s_node-6><sep/><s_text>Can be exported to</s_text><s_node-6><s_text>Freemind</s_text><s_node-7><s_text>can export</s_text><s_node-8><s_text>structured HTML</s_text><sep/><s_text>OPML</s_text><sep/><s_text>text files</s_text></s_node-8><sep/><s_text>information</s_text><sep/><s_text>download</s_text></s_node-7><sep/><s_text>Freeplane</s_text><s_node-7><s_text>more capabilities</s_text><sep/><s_text>download</s_text></s_node-7></s_node-6></s_node-5><sep/><s_text>@sachac</s_text></s_node-4><sep/><s_text>Inspiration</s_text><s_node-4><s_text>talking/listening interface</s_text><s_node-5><s_text>@VisualLeap</s_text></s_node-5><sep/><s_text>requested details</s_text></s_node-4><sep/><s_text>CMap Tools</s_text><s_node-4><s_text>prepare propos- itions as text</s_text><s_node-5><s_text>spreadsheet</s_text><sep/><s_text>dictation software</s_text></s_node-5><sep/><s_text>import text</s_text><s_node-5><s_text>Makes concept map</s_text><sep/><s_text>may need</s_text><s_node-6><s_text>manual support</s_text><s_node-7><s_text>additional editing</s_text><sep/><s_text>optimizing layout</s_text></s_node-7></s_node-6></s_node-5><sep/><s_text>Brian Moon</s_text><s_node-5><s_text>verified</s_text><s_node-6><s_text>"I just tried it with MacSpeech Dictate and MS Excel"</s_text></s_node-6></s_node-5><sep/><s_text>Alberto J. Cañas</s_text><s_node-5><s_text>concept mapping software for blind students.</s_text><s_node-6><s_text>developed by Jaime Sanchez, University of Chile</s_text><sep/><s_text>Find out current status</s_text><sep/><s_text>@roygrubb has emailed Prof. Sanchez</s_text></s_node-6></s_node-5></s_node-4><sep/><s_text>generally:</s_text><s_node-4><s_text>branches have</s_text><s_node-5><s_text>differently pitched voices</s_text><s_node-6><s_text>becomes the 'locator' or 'identifier'</s_text></s_node-6><sep/><s_text>node points</s_text><s_node-6><s_text>unique identifier sound effect</s_text><sep/><s_text>different musical instrument</s_text><sep/><s_text>"soundscapes"</s_text><s_node-7><s_text>as in Myst games</s_text><sep/><s_text>@roygrubb</s_text></s_node-7></s_node-6><sep/><s_text>multiple branches</s_text><s_node-6><s_text>pitch of the note</s_text><s_node-7><s_text>Low near the trunk</s_text><sep/><s_text>High on the outskirts</s_text></s_node-7><sep/><s_text>musical loop</s_text><s_node-7><s_text>identify branch</s_text></s_node-7></s_node-6><sep/><s_text>Roy Blumenthal</s_text></s_node-5></s_node-4><sep/><s_text>verbal descriptive framework</s_text><s_node-4><s_text>@fredlakin</s_text></s_node-4><sep/><s_text>JAWS and ZoomText/Reader</s_text><s_node-4><s_text>the student has JAWS</s_text><sep/><s_text>but not ZoomText/Reader</s_text><sep/><s_text>Brian Friedlander (aka @assistivetek)</s_text></s_node-4></s_node-3><sep/><s_text>touch + sound</s_text><s_node-3><s_text>Livescribe pen</s_text><s_node-4><s_text>plus raised line drawing kit</s_text><sep/><s_text>@roygrubb</s_text></s_node-4><sep/><s_text>"plan.b"</s_text><s_node-4><s_text>translates digital maps (geographical ones)</s_text><s_node-5><s_text>applicable to mind maps?</s_text><sep/><s_text>tactile maps</s_text><sep/><s_text>sound components</s_text><sep/><s_text>prototype only</s_text></s_node-5><sep/><s_text>ORIKO</s_text><sep/><s_text>@vicgee</s_text></s_node-4><sep/><s_text>"Virtual Maps For The Blind"</s_text><s_node-4><s_text>haptic (touch- active) feedback</s_text><s_node-5><s_text>on a joystick</s_text><s_node-6><s_text>for virtual worlds</s_text><s_relation>applicable to mind maps? ()</s_relation></s_node-6></s_node-5><sep/><s_text>applicable to mind maps?</s_text><s_relation>for virtual worlds ()</s_relation><sep/><s_text>@roygrubb</s_text><s_node-5><s_text>has written to author</s_text><s_node-6><s_text>Dr. Lahav</s_text></s_node-6></s_node-5></s_node-4></s_node-3><sep/><s_text>touch</s_text><s_node-3><s_text>3D printers</s_text><s_node-4><s_text>@roygrubb</s_text></s_node-4><sep/><s_text>"Full Screen" displays</s_text><s_node-4><s_text>Electroactive polymer</s_text><sep/><s_text>Choosing</s_text><sep/><s_text>NC State</s_text><s_node-5></s_node-5><sep/><s_text>@fredlakin</s_text></s_node-4><sep/><s_text>touch screen</s_text><s_node-4><s_text>+ smart glove</s_text><s_node-5><s_text>pin like matrix in the fingertips</s_text><sep/><s_text>Would need a text-to-braille interface</s_text></s_node-5><sep/><s_text>Neil Auty</s_text></s_node-4></s_node-3></s_node-2><sep/><s_text>Personal help offered</s_text><s_node-2><s_text>Leo Roman</s_text><sep/><s_text>@Jennison</s_text></s_node-2><sep/><s_text>Analogue</s_text><s_node-2><s_text>touch</s_text><s_node-3><s_text>successful</s_text><s_node-4><s_text>Special pen</s_text><s_node-5><s_text>raises paper surface</s_text><sep/><s_text>writes Braille</s_text><sep/><s_text>so can both</s_text><s_node-6><s_text>draw the line</s_text><sep/><s_text>write on it</s_text></s_node-6><sep/><s_text>shading and shadow missed</s_text></s_node-5><sep/><s_text>trainer</s_text><s_node-5><s_text>prepared</s_text><s_node-6><s_text>drew the images pressing hard</s_text><sep/><s_text>felt by touch</s_text></s_node-6><sep/><s_text>@jamienast</s_text></s_node-5></s_node-4><sep/><s_text>thick paper</s_text><s_node-4><s_text>stylus</s_text><s_node-5><s_text>gouge out</s_text><s_node-6><s_text>lines</s_text><sep/><s_text>forms</s_text><sep/><s_text>textures</s_text></s_node-6></s_node-5><sep/><s_text>words</s_text><s_node-5><s_text>braille writer</s_text><s_relation>type words on Braille typewriter ()</s_relation><s_node-6><s_text>glue</s_text></s_node-6><sep/><s_text>write with the stylus</s_text></s_node-5><sep/><s_text>Roberta Faulhaber</s_text></s_node-4><sep/><s_text>stiff paper/thin card</s_text><s_node-4><s_text>branches</s_text><s_node-5><s_text>string</s_text><sep/><s_text>glue gun</s_text><sep/><s_text>thick plastic glue</s_text><sep/><s_text>varied in</s_text><s_node-6><s_text>width</s_text><sep/><s_text>texture</s_text><sep/><s_text>helped order to be recalled</s_text></s_node-6></s_node-5><sep/><s_text>Student</s_text><s_node-5><s_text>sight was failing</s_text><sep/><s_text>sat exams</s_text><s_node-6><s_text>question read to them</s_text><sep/><s_text>scribe wrote answers given</s_text></s_node-6><sep/><s_text>achieved high grades</s_text></s_node-5><sep/><s_text>Tim Fulford</s_text></s_node-4><sep/><s_text>Wikki Stix</s_text><s_node-4><s_text>Brandy Agerbeck</s_text></s_node-4><sep/><s_text>Sticky plastic for mosaics</s_text><s_node-4><s_text>place objects</s_text><s_node-5><s_text>differentiate</s_text><s_node-6><s_text>texture</s_text><sep/><s_text>shape</s_text></s_node-6></s_node-5><sep/><s_text>type words on Braille typewriter</s_text><s_relation>braille writer ()</s_relation><s_node-5><s_text>cut them out</s_text><sep/><s_text>stick them as needed</s_text></s_node-5><sep/><s_text>equivalent of a visual mindmap</s_text><s_node-5><s_text>explore by touch</s_text></s_node-5><sep/><s_text>Roberta Faulhaber</s_text></s_node-4><sep/><s_text>focus on feeling, smelling</s_text><s_node-4><s_text>Lego</s_text><sep/><s_text>wood</s_text><sep/><s_text>plastic of different</s_text><s_node-5><s_text>densities</s_text><sep/><s_text>weights</s_text><sep/><s_text>textures</s_text></s_node-5><sep/><s_text>add sounds</s_text><sep/><s_text>connectors</s_text><s_node-5><s_text>strings of plastic</s_text><sep/><s_text>cotton</s_text><sep/><s_text>coir</s_text><sep/><s_text>wool</s_text><sep/><s_text>copper</s_text></s_node-5><sep/><s_text>Raju Mandhyan</s_text></s_node-4><sep/><s_text>raised maps</s_text><s_node-4><s_text>developed for City of Geneva</s_text><sep/><s_text>Idriss Ait-Bouziad</s_text></s_node-4></s_node-3></s_node-2><sep/><s_text>Issues</s_text><s_node-2><s_text>Attachments</s_text><s_node-3><s_text>Images</s_text><sep/><s_text>files</s_text><sep/><s_text>web links</s_text></s_node-3><sep/><s_text>Concept maps</s_text><s_node-3><s_text>more complex structure</s_text></s_node-3></s_node-2><sep/><s_text>Activities to support</s_text><s_node-2><s_text>Making maps</s_text><s_node-3><s_text>...for handing in</s_text><sep/><s_text>...for better understanding</s_text></s_node-3><sep/><s_text>Consuming maps</s_text><s_node-3><s_text>...maps of others</s_text><sep/><s_text>...own maps for revision</s_text></s_node-3></s_node-2></s_node-1></s_node-0></s_map>