Introduces the problem of the symbolic structure of physics, surveys the modern history of symbols, proceeds to an epistemological discussion of the role of symbols in our knowledge of nature, and addresses key issues related to the methodology of physics and the character of its symbolic structures.

The ten volumes of Handbook of Pragmatics Highlights focus on the most salient topics in the field of pragmatics, thus dividing its wide interdisciplinary spectrum in a transparent and manageable way. While other volumes select philosophical, grammatical, social, variational, interactional, or discursive angles, this third volume focuses on the interface between language and cognition. Language use is impossible without the mobilization of a large variety of cognitive processes, each serving a different purpose. During the last half century cognitive approaches to language have been particularly successful, and the broad spectrum of contributions to this volume testify to this success. As cognitive approaches to language are by definition a subset of the larger enterprise of cognitive science, a contribution on this general topic sets the stage. This is joined by a chapter on cognitive grammar, a theoretical study of the architecture of human language that is deeply inspired by general cognitive principles. A chapter on experimentation offers a crash-course on basic issues of experimental design and on the rationale behind statistical testing in general and the most important statistical tests in particular, offering a methodological toolkit for understanding many of the other contributions. Different chapters cover a broad range of topics: language acquisition, psycholinguistics, specialized topics within the latter field (e.g. the bilingual mental lexicon, categorization), and aspects of language awareness. Some chapters home in on what have become indispensible perspectives on the cognitive underpinnings of language: the way language is represented and processed in the human brain and simulation studies. The ever-growing success of the latter type of studies is exemplified, for instance, by the highly flourishing connectionist tradition and the more general paradigm of artificial intelligence, each of which is dealt with in a separate contribution.

This volume features the complete text of all regular papers, posters, and summaries of symposia presented at the 14th annual meeting of the Cognitive Science Society.

The two-volume set LNCS 3561 and LNCS 3562 constitute the refereed proceedings of the First International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2005, held in Las Palmas, Canary Islands, Spain in June 2005. The 118 revised papers presented are thematically divided into two volumes; the first includes all the contributions mainly related with the methodological, conceptual, formal, and experimental developments in the fields of Neurophysiology and cognitive science. The second volume collects the papers related with bioinspired programming strategies and all the contributions related with the computational solutions to engineering problems in different application domains.

This book presents a new methodological analysis of two competing research paradigms of artificial intelligence and cognitive science-the symbolic versus the connectionist paradigms. Providing an accessible introduction to the fundamentals of both paradigms, the book derives new objectives for future research that will help to integrate aspects of both areas to obtain more powerful AI techniques and to promote a deeper understanding of cognition.

Neuro-symbolic AI is an emerging subfield of Artificial Intelligence that brings together two hitherto distinct approaches. ”Neuro” refers to the artificial neural networks prominent in machine learning, ”symbolic” refers to algorithmic processing on the level of meaningful symbols, prominent in knowledge representation. In the past, these two fields of AI have been largely separate, with very little crossover, but the so-called “third wave” of AI is now bringing them together. This book, Neuro-Symbolic Artificial Intelligence: The State of the Art, provides an overview of this development in AI. The two approaches differ significantly in terms of their strengths and weaknesses and, from a cognitive-science perspective, there is a question as to how a neural system can perform symbol manipulation, and how the representational differences between these two approaches can be bridged. The book presents 17 overview papers, all by authors who have made significant contributions in the past few years and starting with a historic overview first seen in 2016. With just seven months elapsed from invitation to authors to final copy, the book is as up-to-date as a published overview of this subject can be. Based on the editors’ own desire to understand the current state of the art, this book reflects the breadth and depth of the latest developments in neuro-symbolic AI, and will be of interest to students, researchers, and all those working in the field of Artificial Intelligence.

This is Volume XXII of twenty-two in a collection on 20th Century Philosophy. Originally published in 1979, this volume attempts to assess some of the achievements of Bertrand Russell in philosophy, logic and mathematics, ethics and politics.

When this book was first published, David Olson was examining the developing representation and use of diagonals in the context of much larger questions, questions also explored by Vygotsky, Cassirer, Gombrich, and Bruner. These include such issues as conceptual development, conceptual change, and stage-like transitions in one's knowledge and belief. Some of these problems remain at virtually the same stage of solution to this day. Other problems have indeed been solved or at least come closer to solution, leading the author to think about the precise cognitive representations that allowed for the cognitive growth he examined in such scrupulous detail. The author hopes that both readers and re-readers of this volume will be led to wonder -- as he did while working on the book -- just what there is about a simple diagonal that makes its reproduction so difficult. In so doing, readers will again be reminded of the remarkable resources that children bring to bear on their understanding of the world as well as the blind spots that no simple telling can quite fill in.

This book contains an edited collection of eighteen contributions on soft and hard computing techniques and their applications to autonomous robotic systems. Each contribution has been exclusively written for this volume by a leading researcher. The volume demonstrates the various ways that the soft computing and hard computing techniques can be used in different integrated manners to better develop autonomous robotic systems that can perform various tasks of vision, perception, cognition, thinking, pattern recognition, decision-making, and reasoning and control, amongst others. Each chapter of the book is self-contained and points out the future direction of research. "It is a must reading for students and researchers interested in exploring the potentials of the fascinating field that will form the basis for the design of the intelligent machines of the future" (Madan M. Gupta)

This book introduces fundamentals of information communication. At first, concepts and characteristics of information and information communication are summarized. And then five classic models of information communication are introduced. The mechanisms and fundamental laws of the information transmission process are also discussed. In order to realize information communication, impediments in information communication process are identified and analyzed. For the purpose of investigating implications of Internet information communication, patterns and characteristics of information communication in the Internet and Web 2.0 environment are also analyzed. In the end, case studies are provided for readers to understand the theory.