ppxscal/embedding_network huggingface dataset:
&lsquo;Give me a hug&rsquo;: the effects of touch and autonomy on people's responses to embodied social agents
Authors: Henriette Cramer, Nicander Kemper, Alia Amin, Bob Wielinga, Vanessa Evers
Venue: Computer Animation and Virtual Worlds (2009)

Embodied social agents are programmed to display human-like social behaviour to increase intuitiveness of interacting with these agents. It is yet unclear what the differences in peoples' responses are to different types of agents' social behaviours. One example is touch. Despite robots' physical embodiment and increasing autonomy, the effect of communicative touch has been a mostly overlooked aspect of human-robot interaction. This video-based, 2&thinsp;&times;&thinsp;2 between-subject survey experiment (N = 119) found that the combination of touch and proactivity influenced whether people saw the robot as machine-like and dependable. Furthermore, participants' attitude toward robots in general was found to influence perceived closeness between a human and a robot. Results show that communicative touch could be considered a more appropriate behaviour for proactive agents rather than reactive agents. Also, people that are generally more positive towards robots find robots that interact by touch less machine-like. These effects illustrate that careful consideration is necessary when incorporating social behaviours in agents' physical interaction design. Copyright &copy; 2009 John Wiley & Sons, Ltd. Despite robots' physical embodiment, the effect of communicative touch has been a mostly overlooked aspect of human-robot interaction. This video-based, 2&thinsp;&times;&thinsp;2 between-subject survey experiment (N&thinsp;=&thinsp;119) found that the combination of touch and proactivity influenced whether people saw a robot as machine-like and dependable. Results show that communicative touch could be more appropriate for proactive agents than reactive agents. These results illustrate that careful consideration is necessary when incorporating social behaviours in agents' physical interaction design.
Research on Algorithm of Computer Adaptive Test Using Optimized MDPLTM
Authors: Jin-Ling Li, Feng-lin Wang, Wang-Xiu Li
Venue: Proceeding of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding (2006)

On the basic of the modern education measure theory and computer adaptive test, the paper designed the algorithm of the adaptive test using the new model of item response theory: multi-dimensional polytomous latent trait model. Meanwhile, it tried on individual restrain parameters to optimize the algorithm in order to content the development of an individual's all-round way abilities.
Tool path generation for free-form surfaces defined by dual Kriging
Authors: Abbas Vafaeesefat
Venue: Proceedings of the 9th WSEAS international conference on Robotics, control and manufacturing technology (2009)

An algorithm for three-axis NC tool path generation on sculptured surfaces is presented when the free-form surface is modeled parametrically by dual Kriging. Kriging is a general interpolation method which incorporates several interpolation techniques such as piecewise linear, Bezier and Spline interpolations as particular cases and least square methods as a limit case. The flexibility of dual Kriging that easily defines the intersection of the surfaces with a set of parallel planes and Cartesian method are combined to generate the tool-paths automatically. The presented gouging elimination method prevents possible interference between the tool and the surface. The system was executed on a standard micro-computer and the software was structured to offer a library of machining functions for end-users.
Notes on redefined fuzzy implicative filters of lattice implication algebras
Authors: Jianming Zhan, Young Bae Jun
Venue: Information Sciences: an International Journal (2009)

The concept of (@?@?,@?@?@?q@?)-fuzzy implicative filters of lattice implication algebras is introduced and some of its related properties are investigated. In particular, the relationships among the ordinary fuzzy implicative filters, the (@?,@?@?q)-fuzzy implicative filters and the (@?@?,@?@?@?q@?)-fuzzy implicative filters of lattice implication algebras will be studied.
Automation of database design through semantic analysis
Authors: Nazlia Omar, Rosilah Hassan, Haslina Arshad, Shahnorbanun Sahran
Venue: Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics (2008)

This paper presents the use of heuristics gained from the syntactic and semantic knowledge for the creation of database design in terms of the Entity-Relationship(ER) model through natural language processing. The application of both syntactic and semantic heuristics is used as the strategy to obtain the relevant ER elements such as entities, attributes and relationships from the specifications. Results on the use of the semantic heuristics show that these may help to further improve the results in the automatic detection of the ER elements.
Effect of machining parameters on high-cycle fatigue behaviour of aluminium matrix composites reinforced with silicon carbide particulates
Authors: Ali Mkaddem, Mohamed El Mansori
Venue: International Journal of Computer Applications in Technology (2009)

The proposed paper aims to investigate the impact of the machining conditions on the machinability and fatigue variance of aluminium matrix composite reinforced with silicon carbide particulates (SiC&lt;SUB align=right&gt;p). An experimental approach using three machining speeds and two feed rates has been conducted for preparing test specimens. Firstly, the surface quality of machined specimen is studied through different roughness inspections which lead to display clearness the influence of machining parameters on the finished surfaces. Secondly, the morphology of uncoated tungsten carbide tools used for turning operations is discussed. Then, tensile test is conducted in order to describe how material behaves and to determine yield stress value under which fatigue stresses would be chosen for tests. Finally, the fatigue tests were carried out on cut specimens and fatigue life for the considered composite is studied under two stress amplitudes, using 4-point reversed bending loads. Different experiments have been performed at room temperature up to failure in order to investigate the behaviour of material in each case of chosen domain. Particularly, the behaviour of composites under stress-controlled conditions has been discussed.
A framework for software requirements engineering
Authors: Khairuddin Hashim, Nurul Naslia Khairuddin
Venue: Proceedings of the 8th WSEAS International Conference on Software engineering, parallel and distributed systems (2009)

Despite research being done on improving the requirements engineering process, existing requirements engineering tools and techniques are still inadequate. Different tools and techniques represent different foci on aspect of features. This paper presents a requirements engineering framework that provides emphasis on four aspects of requirements engineering - organizational factors, requirements attributes, processes and standards; and tool support.
ONKI SKOS Server for Publishing and Utilizing SKOS Vocabularies and Ontologies as Services
Authors: Jouni Tuominen, Matias Frosterus, Kim Viljanen, Eero Hyvönen
Venue: Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications (2009)

Vocabularies are the building blocks of the Semantic Web providing shared terminological resources for content indexing, information retrieval, data exchange, and content integration. Most semantic web applications in practical use are based on lightweight ontologies and, more recently, on the Simple Knowledge Organization System (SKOS) data model being standardized by W3C. Easy and cost-efficient publication, integration, and utilization methods of vocabulary services are therefore highly important for the proliferation of the Semantic Web. This paper presents the ONKI SKOS Server for these tasks. Using ONKI SKOS, a SKOS vocabulary or a lightweight ontology can be published on the web as ready-to-use services in a matter of minutes. The services include not only a browser for human usage, but also Web Service and AJAX interfaces for concept finding, selecting and transporting resources from the ONKI SKOS Server to connected systems. Code generation services for AJAX and Web Service APIs are provided automatically, too. ONKI SKOS services are also used for semantic query expansion in information retrieval tasks. The idea of publishing ontologies as services is analogous to Google Maps. In our case, however, vocabulary services are provided and mashed-up in applications. ONKI SKOS was published in the beginning of 2008 and is to our knowledge the first generic SKOS server of its kind. The system has been used to publish and utilize some 60 vocabularies and ontologies in the National Finnish Ontology Service ONKI www.yso.fi.
Towards an Organizational MAS Methodology
Authors: Estefania Argente, Vicente Julian, Soledad Valero, Vicente Botti
Venue: Proceeding of the 2005 conference on Artificial Intelligence Research and Development (2005)

Organizations are a powerful way to coordinate complex behavior in human society. Thus, human organizations can serve as a basis for better understanding and designing open multi-agent systems. Organizational models have been recently used in agent theory for modelling coordination in open systems and to ensure social order in multi-agent system applications. This work discusses several organizational features of organization-oriented multiagent system methodologies and analyzes whether they take into account human organizational designs. Moreover, several guidelines that any organization-oriented MAS methodology must take into account are proposed.
Improve Effectiveness of Dialogue in Learning Communities
Authors: Jingyu Yang, Kinshuk
Venue: Proceeding of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding (2006)

In a learning community, conventional discussion forums are integral to web-based interventions in traditional classrooms as well as on-line learning environments. Despite popular belief that they are a great success in fostering deep and meaningful discussions and support active learning; research has found that there are millions of messages posted by users to express such an opinion, but it is hard to be directly delivered to all users. Finally there are millions of postings in databases across the country stored away and never reused. This paper introduces a PhD student's current in-progress research work. It proposes a distributed intelligent discussion forum system dedicated to supporting both students and teachers. The system is developed with the primary goal of reducing the number of problems associated with conventional discussion forum systems in web-based environments and improving the effectiveness of dialogue between students with each other and with teachers so that it can enhance each individual student's ability to share and learn knowledge.
Flow Visualization in Arteriovenous Fistula and Aneurysm Using Computational Fluid Dynamics
Authors: K. L. Bessa, J. P. Ortiz
Venue: Journal of Visualization (2009)

The arteriovenous fistula (AVF) is characterized by enhanced blood flow and is the most widely used vascular access for chronic haemodialysis (Sivanesan et al., 1998). A large proportion of the AVF late failures are related to local haemodynamics (Sivanesan et al., 1999a). As in AVF, blood flow dynamics plays an important role in growth, rupture, and surgical treatment of aneurysm. Several techniques have been used to study the flow patterns in simplified models of vascular anastomose and aneurysm. In the present investigation, Computational Fluid Dynamics (CFD) is used to analyze the flow patterns in AVF and aneurysm through the velocity waveform obtained from experimental surgeries in dogs (Galego et al., 2000), as well as intra-operative blood flow recordings of patients with radiocephalic AVF (Sivanesan et al., 1999b) and physiological pulses (Aires, 1991), respectively. The flow patterns in AVF for dog and patient surgeries data are qualitatively similar. Perturbation, recirculation and separation zones appeared during cardiac cycle, and these were intensified in the diastole phase for the AVF and aneurysm models. The values of wall shear stress presented in this investigation of AVF and aneurysm models oscillated in the range that can both cause damage to endothelial cells and develop atherosclerosis.
Using IT to Power and Support Problem-Based Engaged Learning
Authors: Wee-Meng Hoe, Irene Tan
Venue: Proceeding of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding (2006)

In this paper, we describe the use of IT to support and enhance student-centred learning in a Singapore secondary school. Using problem-based learning as the key pedagogical model, the school management derived policies and strategies for technology implementation. In addition, the school attempts to achieve intercultural understanding through the extension of learning beyond the classroom.
VIP: a visual approach to user authentication
Authors: Antonella De Angeli, Mike Coutts, Lynne Coventry, Graham I. Johnson, David Cameron, Martin H. Fischer
Venue: Proceedings of the working conference on Advanced visual interfaces (2002)

This paper addresses knowledge-based authentication systems in self-service technology, presenting the design and evaluation of the Visual Identification Protocol (VIP). The basic idea behind it is to use pictures instead of numbers as a means for user authentication. Three different authentication systems based on images and visual memory were designed and compared with the traditional Personal Identification Number (PIN) approach in a longitudinal study involving 61 users. The experiment addressed performance criteria and subjective evaluation. The study and associated design exploration revealed important knowledge about users, their attitudes towards and behaviour with novel authentication approaches using images. VIP was found to provide a promising and easy-to-use alternative to the PIN. The visual code is easier to remember, preferred by users and potentially more secure than the numeric code. Results also provided guidelines to help designers make the best use of the natural power of visual memory in security solutions.
Exploiting locality of interactions using a policy-gradient approach in multiagent learning
Authors: Francisco S. Melo
Venue: Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence (2008)

In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality of interaction observed in many practical problems. Our algorithms can be described by an actor-critic architecture: the actor component combines natural gradient updates with a varying learning rate; the critic uses only local information to maintain a belief over the joint state-space, and evaluates the current policy as a function of this belief using compatible function approximation. In order to speed the convergence of the algorithm, we use an optimistic initialization of the policy that relies on a fully observable, single agent model of the problem. We illustrate our approach in some simple application problems.
A Compact Argumentation System for Agent System Specification
Authors: Insu Song, Guido Governatori
Venue: Proceeding of the 2006 conference on STAIRS 2006: Proceedings of the Third Starting AI Researchers' Symposium (2006)

We present a non-monotonic logic tailored for specifying compact autonomous agent systems. The language is a consistent instantiation of a logic based argumentation system extended with Brooks' subsumption concept and varying degree of belief. Particulary, we present a practical implementation of the language by developing a meta-encoding method that translates logical specifications into compact general logic programs. The language allows n-ary predicate literals with the usual first-order term definitions. We show that the space complexity of the resulting general logic program is linear to the size of the original theory.
Early prediction of student goals and affect in narrative-centered learning environments
Authors: James C. Lester, Carla D. Savage
Venue:  (2008)

Recent years have seen a growing recognition of the role of goal and affect recognition in intelligent tutoring systems. Goal recognition is the task of inferring users&rsquo; goals from a sequence of observations of their actions. Because of the uncertainty inherent in every facet of human computer interaction, goal recognition is challenging, particularly in contexts in which users can perform many actions in any order, as is the case with intelligent tutoring systems. Affect recognition is the task of identifying the emotional state of a user from a variety of physical cues, which are produced in response to affective changes in the individual. Accurately recognizing student goals and affect states could contribute to more effective and motivating interactions in intelligent tutoring systems. By exploiting knowledge of student goals and affect states, intelligent tutoring systems can dynamically modify their behavior to better support individual students. To create effective interactions in intelligent tutoring systems, goal and affect recognition models should satisfy two key requirements. First, because incorrectly predicted goals and affect states could significantly diminish the effectiveness of interactive systems, goal and affect recognition models should provide accurate predictions of user goals and affect states. When observations of users&rsquo; activities become available, recognizers should make accurate early&rdquo; predictions. Second, goal and affect recognition models should be highly efficient so they can operate in real time. To address key issues, we present an inductive approach to recognizing student goals and affect states in intelligent tutoring systems by learning goals and affect recognition models. Our work focuses on goal and affect recognition in an important new class of intelligent tutoring systems, narrative-centered learning environments. We report the results of empirical studies of induced recognition models from observations of students' interactions in narrative-centered learning environments. Experimental results suggest that induced models can make accurate early predictions of student goals and affect states, and they are sufficiently efficient to meet the real-time performance requirements of interactive learning environments.
Intuitive Action Set Formation in Learning Classifier Systems with Memory Registers
Authors: L. Simões, M. C. Schut, E. Haasdijk
Venue: Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence (2008)

An important design goal in Learning Classifier Systems (LCS) is to equally reinforce those classifiers which cause the level of reward supplied by the environment. In this paper, we propose a new method for action set formation in LCS. When applied to a Zeroth Level Classifier System with Memory registers (ZCSM), our method allows the distribution of rewards among classifiers which result in the same memory state, rather than those encoding the same memory update action.
Transfer learning for collaborative filtering via a rating-matrix generative model
Authors: Bin Li, Qiang Yang, Xiangyang Xue
Venue: Proceedings of the 26th Annual International Conference on Machine Learning (2009)

Cross-domain collaborative filtering solves the sparsity problem by transferring rating knowledge across multiple domains. In this paper, we propose a rating-matrix generative model (RMGM) for effective cross-domain collaborative filtering. We first show that the relatedness across multiple rating matrices can be established by finding a shared implicit cluster-level rating matrix, which is next extended to a cluster-level rating model. Consequently, a rating matrix of any related task can be viewed as drawing a set of users and items from a user-item joint mixture model as well as drawing the corresponding ratings from the cluster-level rating model. The combination of these two models gives the RMGM, which can be used to fill the missing ratings for both existing and new users. A major advantage of RMGM is that it can share the knowledge by pooling the rating data from multiple tasks even when the users and items of these tasks do not overlap. We evaluate the RMGM empirically on three real-world collaborative filtering data sets to show that RMGM can outperform the individual models trained separately.
Hamshahri: A standard Persian text collection
Authors: Abolfazl AleAhmad, Hadi Amiri, Ehsan Darrudi, Masoud Rahgozar, Farhad Oroumchian
Venue: Knowledge-Based Systems (2009)

The Persian language is one of the dominant languages in the Middle East, so there are significant amount of Persian documents available on the Web. Due to the different nature of the Persian language compared to the other languages such as English, the design of information retrieval systems in Persian requires special considerations. However, there are relatively few studies on retrieval of Persian documents in the literature and one of the main reasons is the lack of a standard test collection. In this paper, we introduce a standard Persian text collection, named Hamshahri, which is built from a large number of newspaper articles according to TREC specifications. Furthermore, statistical information about documents, queries and their relevance judgments are presented in this paper. We believe that this collection is the largest Persian text collection, so far.
Ranking with ordered weighted pairwise classification
Authors: Nicolas Usunier, David Buffoni, Patrick Gallinari
Venue: Proceedings of the 26th Annual International Conference on Machine Learning (2009)

In ranking with the pairwise classification approach, the loss associated to a predicted ranked list is the mean of the pairwise classification losses. This loss is inadequate for tasks like information retrieval where we prefer ranked lists with high precision on the top of the list. We propose to optimize a larger class of loss functions for ranking, based on an ordered weighted average (OWA) (Yager, 1988) of the classification losses. Convex OWA aggregation operators range from the max to the mean depending on their weights, and can be used to focus on the top ranked elements as they give more weight to the largest losses. When aggregating hinge losses, the optimization problem is similar to the SVM for interdependent output spaces. Moreover, we show that OWA aggregates of margin-based classification losses have good generalization properties. Experiments on the Letor 3.0 benchmark dataset for information retrieval validate our approach.
A decentralized model for scheduling independent tasks in Federated Grids
Authors: Katia Leal, Eduardo Huedo, Ignacio M. Llorente
Venue: Future Generation Computer Systems (2009)

In this paper we present a decentralized model for scheduling independent tasks in Federated Grids. This model consists of a set of meta-schedulers on each of the grid infrastructures of the Federated Grid. Each meta-scheduler has to implement a mapping strategy in order to improve two of the most common objective functions of task scheduling problems: makespan and resource performance. We consider four possible algorithms that have to provide a simple, decoupled, and coarse-grained solution that could be deployed in any Grid. The main axis of the algorithms is that they consider the performance of the infrastructures forming the Federated Grid, not only their state.