bluuebunny/crossref_metadata_2025_split huggingface dataset:
Butch Heroes
Authors: Brodell Ria 
Published: March 2019

Portraits and texts recover lost queer history: the lives of people who didn't conform to gender norms, from the fifteenth through the twentieth centuries.
“A serious—and seriously successful—queer history recovery project.”
—Publishers Weekly
Katherina Hetzeldorfer, tried “for a crime that didn't have a name” (same sex sexual relations) and sentenced to death by drowning in 1477; Charles aka Mary Hamilton, publicly whipped for impersonating a man in eighteenth-century England; Clara, aka “Big Ben,” over whom two jealous women fought in 1926 New York: these are just three of the lives that the artist Ria Brodell has reclaimed for queer history in Butch Heroes. Brodell offers a series of twenty-eight portraits of forgotten but heroic figures, each accompanied by a brief biographical note. They are individuals who were assigned female at birth but whose gender presentation was more masculine than feminine, who did not want to enter into heterosexual marriage, and who often faced dire punishment for being themselves.
Brodell's detailed and witty paintings are modeled on Catholic holy cards, slyly subverting a religious template. The portraits and the texts offer intriguing hints of lost lives: cats lounge in the background of domestic settings; one of the figures is said to have been employed variously as “a prophet, a soldier, or a textile worker”; another casually holds a lit cigarette. Brodell did extensive research for each portrait, piecing together a life from historical accounts, maps, journals, paintings, drawings, and photographs, finding the heroic in the forgotten.
The Computational Brain
Authors: Churchland Patricia S. , Sejnowski Terrence J. 
Published: March 2019

Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine a diverse range of neural network models, and consider future directions of the field.
How do groups of neurons interact to enable the organism to see, decide, and move appropriately? What are the principles whereby networks of neurons represent and compute? These are the central questions probed by The Computational Brain. Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine a diverse range of neural network models, and consider future directions of the field. The Computational Brain is the first unified and broadly accessible book to bring together computational concepts and behavioral data within a neurobiological framework.
Computer models constrained by neurobiological data can help reveal how—networks of neurons subserve perception and behavior—bow their physical interactions can yield global results in perception and behavior, and how their physical properties are used to code information and compute solutions. The Computational Brain focuses mainly on three domains: visual perception, learning and memory, and sensorimotor integration. Examples of recent computer models in these domains are discussed in detail, highlighting strengths and weaknesses, and extracting principles applicable to other domains. Churchland and Sejnowski show how both abstract models and neurobiologically realistic models can have useful roles in computational neuroscience, and they predict the coevolution of models and experiments at many levels of organization, from the neuron to the system.
The Computational Brain addresses a broad audience: neuroscientists, computer scientists, cognitive scientists, and philosophers. It is written for both the expert and novice. A basic overview of neuroscience and computational theory is provided, followed by a study of some of the most recent and sophisticated modeling work in the context of relevant neurobiological research. Technical terms are clearly explained in the text, and definitions are provided in an extensive glossary. The appendix contains a précis of neurobiological techniques.
The Computational Brain is the first unified and broadly accessible book to bring together computational concepts and behavioral data within a neurobiological framework. Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine a diverse range of neural network models, and consider future directions of the field.
Bradford Books imprint
Control and Freedom
Authors: Chun Wendy Hui Kyong 
Published: March 2019

A work that bridges media archaeology and visual culture studies argues that the Internet has emerged as a mass medium by linking control with freedom and democracy.
How has the Internet, a medium that thrives on control, been accepted as a medium of freedom? Why is freedom increasingly indistinguishable from paranoid control? In Control and Freedom, Wendy Hui Kyong Chun explores the current political and technological coupling of freedom with control by tracing the emergence of the Internet as a mass medium. The parallel (and paranoid) myths of the Internet as total freedom/total control, she says, stem from our reduction of political problems into technological ones.
Drawing on the theories of Gilles Deleuze and Michel Foucault and analyzing such phenomena as Webcams and face-recognition technology, Chun argues that the relationship between control and freedom in networked contact is experienced and negotiated through sexuality and race. She traces the desire for cyberspace to cyberpunk fiction and maps the transformation of public/private into open/closed. Analyzing "pornocracy," she contends that it was through cyberporn and the government's attempts to regulate it that the Internet became a marketplace of ideas and commodities. Chun describes the way Internet promoters conflated technological empowerment with racial empowerment and, through close examinations of William Gibson's Neuromancer and Mamoru Oshii's Ghost in the Shell, she analyzes the management of interactivity in narratives of cyberspace.
The Internet's potential for democracy stems not from illusory promises of individual empowerment, Chun argues, but rather from the ways in which it exposes us to others (and to other machines) in ways we cannot control. Using fiber optic networks—light coursing through glass tubes—as metaphor and reality, Control and Freedom engages the rich philosophical tradition of light as a figure for knowledge, clarification, surveillance, and discipline, in order to argue that fiber-optic networks physically instantiate, and thus shatter, enlightenment.
An Introduction to Neural Networks
Authors: Anderson James A. 
Published: March 2019

An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling, and at engineers who want to go beyond formal algorithms to applications and computing strategies. It is the only current text to approach networks from a broad neuroscience and cognitive science perspective, with an emphasis on the biology and psychology behind the assumptions of the models, as well as on what the models might be used for. It describes the mathematical and computational tools needed and provides an account of the author's own ideas.
Students learn how to teach arithmetic to a neural network and get a short course on linear associative memory and adaptive maps. They are introduced to the author's brain-state-in-a-box (BSB) model and are provided with some of the neurobiological background necessary for a firm grasp of the general subject.
The field now known as neural networks has split in recent years into two major groups, mirrored in the texts that are currently available: the engineers who are primarily interested in practical applications of the new adaptive, parallel computing technology, and the cognitive scientists and neuroscientists who are interested in scientific applications. As the gap between these two groups widens, Anderson notes that the academics have tended to drift off into irrelevant, often excessively abstract research while the engineers have lost contact with the source of ideas in the field. Neuroscience, he points out, provides a rich and valuable source of ideas about data representation and setting up the data representation is the major part of neural network programming. Both cognitive science and neuroscience give insights into how this can be done effectively: cognitive science suggests what to compute and neuroscience suggests how to compute it.
Bradford Books imprint
An Introduction to Fuzzy Sets
Authors: Pedrycz Witold , Gomide Fernando 
Published: March 2019

The concept of fuzzy sets is one of the most fundamental and influential tools in computational intelligence. Fuzzy sets can provide solutions to a broad range of problems of control, pattern classification, reasoning, planning, and computer vision. This book bridges the gap that has developed between theory and practice. The authors explain what fuzzy sets are, why they work, when they should be used (and when they shouldn't), and how to design systems using them.
The authors take an unusual top-down approach to the design of detailed algorithms. They begin with illustrative examples, explain the fundamental theory and design methodologies, and then present more advanced case studies dealing with practical tasks. While they use mathematics to introduce concepts, they ground them in examples of real-world problems that can be solved through fuzzy set technology. The only mathematics prerequisites are a basic knowledge of introductory calculus and linear algebra.
Bradford Books imprint
Knowledge and Mind
Authors: Brook Andrew , Stainton Robert J. 
Published: March 2019

This is the only contemporary text to cover both epistemology and philosophy of mind at an introductory level. It also serves as a general introduction to philosophy: it discusses the nature and methods of philosophy as well as basic logical tools of the trade.
The book is divided into three parts. The first focuses on knowledge, in particular, skepticism and knowledge of the external world, and knowledge of language. The second focuses on mind, including the metaphysics of mind and freedom of will. The third brings together knowledge and mind, discussing knowledge of mind (other minds and our own) and naturalism and how epistemology and philosophy of mind come together in contemporary cognitive science. Throughout, the authors take into account the needs of the beginning philosophy student. They have made very effort to ensure accessibility while preserving accuracy.
Bradford Books imprint
Mental Leaps
Authors: Holyoak Keith J. , Thagard Paul 
Published: March 2019

Analogy—recalling familiar past situations to deal with novel ones—is a mental tool that everyone uses. Analogy can provide invaluable creative insights, but it can also lead to dangerous errors. In Mental Leaps two leading cognitive scientists show how analogy works and how it can be used most effectively. Keith Holyoak and Paul Thagard provide a unified, comprehensive account of the diverse operations and applications of analogy, including problem solving, decision making, explanation, and communication.
Holyoak and Thagard present their own theory of analogy, considering its implications for cognitive science in general, and survey examples from many other domains. These include animal cognition, developmental and social psychology, political science, philosophy, history of science, anthropology, and literature.
Understanding how we draw analogies is important for people interested in the evolution of thinking in animals and in children; for those whose focus is on either creative thinking or errors of everyday reasoning; for those concerned with how decisions are made in law, business, and politics; and for those striving to improve education. Mental Leaps covers all of this ground, emphasizing the principles that govern the use of analogy and keeping technical matters to a minimum.
Bradford Books imprint
The Modularity of Mind
Authors: Fodor Jerry A. 
Published: March 2019

This study synthesizes current information from the various fields of cognitive science in support of a new and exciting theory of mind. Most psychologists study horizontal processes like memory and information flow; Fodor postulates a vertical and modular psychological organization underlying biologically coherent behaviors. This view of mental architecture is consistent with the historical tradition of faculty psychology while integrating a computational approach to mental processes. One of the most notable aspects of Fodor's work is that it articulates features not only of speculative cognitive architectures but also of current research in artificial intelligence.
Bradford Books imprint
The Rise of Political Economy as a Science
Authors: Redman Deborah A 
Published: March 2019

Reviews the epistemological ideas that inspired the classical economists: the methodological principles of Bacon, Descartes, Hobbes, Newton, Locke, Hume, Stewart, Herschel, and Whewell.
The classical age of economics was marked by an intense interest in scientific methodology. It was, moreover, an age when science and philosophy were not yet distinct disciplines, and the educated were polymaths. The classical economists were acutely aware that suitable methods had to be developed before a body of knowledge could be deemed philosophical or scientific. They did not formulate their methodological views in a vacuum, but drew on a rich collection of philosophical ideas. Consequently, issues of methodology were at the heart of political economys rise as a science. The classical era of economics opened under Adam Smith with political economy understood as an integral part of a broader system of social philosophy; by the end, it had emerged via J. S. Mill as a "separate science", albeit one still inextricably tied to the other social sciences and to ethics. The Rise of Political Economy as a Science opens with a review of the epistemological ideas that inspired the classical economists: the methodological principles of Bacon, Descartes, Hobbes, Newton, Locke, Hume, Stewart, Herschel, and Whewell. These principles were influential not just in the development of political economy, but in the rise of social science in general. The author then examines science in eighteenth- and nineteenth-century Britain, with a particular emphasis on the all-important concept of induction. Having laid the necessary groundwork, she proceeds to a history and analysis of the methodologies of four economist-philosophers—Adam Smith, Robert Malthus, David Ricardo, and J. S. Mill—selected for their historical importance as founders of economics and for their common Scottish intellectual lineage. Concluding remarks put classical methodology into a broader historical perspective.
Social Cognition
Authors: Kunda Ziva 
Published: March 2019

Ziva Kunda provides a comprehensive and accessible survey of research and theory about social cognition at a level appropriate for undergraduate and graduate students, as well as researchers in the field.
How do we make sense of other people and of ourselves? What do we know about the people we encounter in our daily lives and about the situations in which we encounter them, and how do we use this knowledge in our attempt to understand, predict, or recall their behavior? Are our social judgments fully determined by our social knowledge, or are they also influenced by our feelings and desires?
Social cognition researchers look at how we make sense of other people and of ourselves. In this book Ziva Kunda provides a comprehensive and accessible survey of research and theory about social cognition at a level appropriate for undergraduate and graduate students, as well as researchers in the field.
The first part of the book reviews basic processes in social cognition, including the representation of social concepts, rules of inference, memory, "hot" cognition driven by motivation or affect, and automatic processing. The second part reviews three basic topics in social cognition: group stereotypes, knowledge of other individuals, and the self. A final chapter revisits many of these issues from a cross-cultural perspective.
Bradford Books imprint
Trace Theory for Automatic Hierarchical Verification of Speed-Independent Circuits
Authors: Dill David L. 
Published: March 2019

Speed-independent circuits offer a potential solution to the timing problems of VLSI. In this book David Dill develops and implements a theory for practical automatic verification of these control circuits. He describes a formal model of circuit operation, defines the proper relationship between an implementation and its specification, and constructs a computer program that can check this relationship. Asynchronous or speed-independent circuit design has gained renewed interest in the VLSI community because of the possibilities it provides for dealing with problems that arise with the increasing complexity of VLSI circuits. Speed-independent circuits offer a way around such phenomena as clock skew, which can be a serious obstacle in the design of large systems. They can expedite circuit design by reducing design time and simplifying the overall process. A major challenge to the successful utilization of speed-independent circuits is correctness. The verification method described here insures that a design is correct and because it can be automated it is a significant advantage over manual verification. Dill proposes two distinct theories - prefix-closed trace structures, which can model and specify safety properties, and complete trace structures, which can also deal with liveness and fairness properties.
Trace Theory for Automatic Hierarchical Verification of Speed Independent Circuits is a 1988 ACM Distinguished Dissertation
Using Hard Problems to Create Pseudorandom Generators
Authors: Nisan Noam , Gonczarowski Yannai 
Published: March 2019

Randomization is an important tool in the design of algorithms, and the ability of randomization to provide enhanced power is a major research topic in complexity theory. Noam Nisan continues the investigation into the power of randomization and the relationships between randomized and deterministic complexity classes by pursuing the idea of emulating randomness, or pseudorandom generation. Pseudorandom generators reduce the number of random bits required by randomized algorithms, enable the construction of certain cryptographic protocols, and shed light on the difficulty of simulating randomized algorithms by deterministic ones. The research described here deals with two methods of constructing pseudorandom generators from hard problems and demonstrates some surprising connections between pseudorandom generators and seemingly unrelated topics such as multiparty communication complexity and random oracles. Nisan first establishes a precise connection between computational complexity and pseudorandom number generation, revealing that efficient deterministic simulation of randomized algorithms is possible under much weaker assumptions than was previously known, and bringing to light new consequences concerning the power of random oracles. Using a remarkable argument based on multiparty communication complexity, Nisan then constructs a generator that is good against all tests computable in logarithmic space. A consequence of this result is a new construction of universal traversal sequences.
Contents Introduction • Hardness vs. Randomness • Pseudorandom Generators for Logspace and Multiparty Protocols
Cardinals
Authors: Ionin Tania , Matushansky Ora 
Published: March 2019

An argument that complex cardinals are not extra-linguistic but built using standard syntax and standard principles of semantic composition.
In Cardinals, Tania Ionin and Ora Matushansky offer a semantic and syntactic analysis of nominal expressions containing complex cardinals (for example, two hundred and thirty-five books). They show that complex cardinals are not an extra-linguistic phenomenon (as is often assumed) but built using standard syntax and standard principles of semantic composition. Complex cardinals can tell us as much about syntactic structure and semantic composition as other linguistic expressions.
Ionin and Matushansky show that their analysis accounts for the internal composition of cardinal-containing constructions cross-linguistically, providing examples from more than fifteen languages. They demonstrate that their proposal is compatible with a variety of related phenomena, including modified numerals, measure nouns, and fractions. Ionin and Matushansky show that a semantic or syntactic account that captures the behavior of a simplex cardinal (such as five) does not automatically transfer to a complex cardinal (such as five thousand and forty-six) and propose a compositional analysis of complex cardinals. They consider the lexical categories of simplex cardinals and their role in the construction of complex cardinals; examine in detail the numeral systems of selected languages, including Slavic and Semitic languages; discuss linguistic constructions that contain cardinals; address extra-linguistic conventions on the construction of complex cardinals; and, drawing on data from Modern Hebrew, Basque, Russian, and Dutch, show that modified numerals and partitives are compatible with their analysis.
From X-rays to DNA
Authors: Lee W. David , Drazen Jeffrey , Sharp Phillip A. , Langer Robert S. 
Published: March 2019

An argument that technology accelerates biological discovery, with case studies ranging from chromosome discovery with early microscopes to how DNA replicates using radioisotope labels.
Engineering has been an essential collaborator in biological research and breakthroughs in biology are often enabled by technological advances. Decoding the double helix structure of DNA, for example, only became possible after significant advances in such technologies as X-ray diffraction and gel electrophoresis. Diagnosis and treatment of tuberculosis improved as new technologies—including the stethoscope, the microscope, and the X-ray—developed. These engineering breakthroughs take place away from the biology lab, and many years may elapse before the technology becomes available to biologists. In this book, David Lee argues for concurrent engineering—the convergence of engineering and biological research—as a means to accelerate the pace of biological discovery and its application to diagnosis and treatment. He presents extensive case studies and introduces a metric to measure the time between technological development and biological discovery.
Investigating a series of major biological discoveries that range from pasteurization to electron microscopy, Lee finds that it took an average of forty years for the necessary technology to become available for laboratory use. Lee calls for new approaches to research and funding to encourage a tighter, more collaborative coupling of engineering and biology. Only then, he argues, will we see the rapid advances in the life sciences that are critically needed for life-saving diagnosis and treatment.