The Symbolic and Connectionist Paradigms

The Symbolic and Connectionist Paradigms PDF Author: John Dinsmore
Publisher: Psychology Press
ISBN: 1317782380
Category : Psychology
Languages : en
Pages : 316

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Book Description
The modern study of cognition finds itself with two widely endorsed but seemingly incongruous theoretical paradigms. The first of these, inspired by formal logic and the digital computer, sees reasoning in the principled manipulation of structured symbolic representations. The second, inspired by the physiology of the brain, sees reasoning as the behavior that emerges from the direct interactions found in large networks of simple processing components. Each paradigm has its own accomplishments, problems, methodology, proponents, and agenda. This book records the thoughts of researchers -- from both computer science and philosophy -- on resolving the debate between the symbolic and connectionist paradigms. It addresses theoretical and methodological issues throughout, but at the same time exhibits the current attempts of practicing cognitive scientists to solve real problems.

The Symbolic and Connectionist Paradigms

The Symbolic and Connectionist Paradigms PDF Author: John Dinsmore
Publisher: Psychology Press
ISBN: 1317782380
Category : Psychology
Languages : en
Pages : 316

Get Book Here

Book Description
The modern study of cognition finds itself with two widely endorsed but seemingly incongruous theoretical paradigms. The first of these, inspired by formal logic and the digital computer, sees reasoning in the principled manipulation of structured symbolic representations. The second, inspired by the physiology of the brain, sees reasoning as the behavior that emerges from the direct interactions found in large networks of simple processing components. Each paradigm has its own accomplishments, problems, methodology, proponents, and agenda. This book records the thoughts of researchers -- from both computer science and philosophy -- on resolving the debate between the symbolic and connectionist paradigms. It addresses theoretical and methodological issues throughout, but at the same time exhibits the current attempts of practicing cognitive scientists to solve real problems.

Paradigms of Artificial Intelligence

Paradigms of Artificial Intelligence PDF Author: Achim G. Hoffmann
Publisher: Springer Science & Business Media
ISBN: 9789813083974
Category : Computers
Languages : en
Pages : 350

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Book Description
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.

Brain and Being

Brain and Being PDF Author: Gordon G. Globus
Publisher: John Benjamins Publishing
ISBN: 9027295360
Category : Philosophy
Languages : en
Pages : 370

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Book Description
This book results from a group meeting held at the Institute for Scientific Exchange in Torino, Italy. The central aim was for scientists to “think together” in new ways with those in the humanities inspired by quantum theory and especially quantum brain theory. These fields of inquiry have suffered conceptual estrangement but now are ripe for rapprochement, if academic parochialism is put aside. A prevalent theme of the book is a moving away from individual elements and individual actors acting upon each other, toward a coordinate hermeneutic dynamics that manifests as a coherent totality. Among the topics covered are image in photography and in neuroscience; language; time; brain and mathematics; quantum brain dynamics and quantum communication.

Philosophy and Theory of Artificial Intelligence

Philosophy and Theory of Artificial Intelligence PDF Author: Vincent C. Müller
Publisher: Springer Science & Business Media
ISBN: 3642316743
Category : Technology & Engineering
Languages : en
Pages : 413

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Book Description
Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science. We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.

The Foundations of Artificial Intelligence

The Foundations of Artificial Intelligence PDF Author: Derek Partridge
Publisher: Cambridge University Press
ISBN: 9780521359443
Category : Computers
Languages : en
Pages : 516

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Book Description
This outstanding collection is designed to address the fundamental issues and principles underlying the task of Artificial Intelligence.

Model Driven Architecture and Ontology Development

Model Driven Architecture and Ontology Development PDF Author: Dragan Gaševic
Publisher: Springer Science & Business Media
ISBN: 3540321829
Category : Computers
Languages : en
Pages : 316

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Book Description
Defining a formal domain ontology is considered a useful, not to say necessary step in almost every software project. This is because software deals with ideas rather than with self-evident physical artefacts. However, this development step is hardly ever done, as ontologies rely on well-defined and semantically powerful AI concepts such as description logics or rule-based systems, and most software engineers are unfamiliar with these. This book fills this gap by covering the subject of MDA application for ontology development on the Semantic Web. The writing is technical yet clear, and is illustrated with examples. The book is supported by a website.

The Cambridge Handbook of Computational Psychology

The Cambridge Handbook of Computational Psychology PDF Author: Ron Sun
Publisher: Cambridge University Press
ISBN: 0521674107
Category : Computers
Languages : en
Pages : 767

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Book Description
A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.

The Blackwell Guide to the Philosophy of Computing and Information

The Blackwell Guide to the Philosophy of Computing and Information PDF Author: Luciano Floridi
Publisher: John Wiley & Sons
ISBN: 0470756764
Category : Science
Languages : en
Pages : 392

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Book Description
This Guide provides an ambitious state-of-the-art survey of the fundamental themes, problems, arguments and theories constituting the philosophy of computing. A complete guide to the philosophy of computing and information. Comprises 26 newly-written chapters by leading international experts. Provides a complete, critical introduction to the field. Each chapter combines careful scholarship with an engaging writing style. Includes an exhaustive glossary of technical terms. Ideal as a course text, but also of interest to researchers and general readers.

Proceedings of the 1993 Connectionist Models Summer School

Proceedings of the 1993 Connectionist Models Summer School PDF Author: Michael C. Mozer
Publisher: Psychology Press
ISBN: 1317780531
Category : Psychology
Languages : en
Pages : 424

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Book Description
The result of the 1993 Connectionist Models Summer School, the papers in this volume exemplify the tremendous breadth and depth of research underway in the field of neural networks. Although the slant of the summer school has always leaned toward cognitive science and artificial intelligence, the diverse scientific backgrounds and research interests of accepted students and invited faculty reflect the broad spectrum of areas contributing to neural networks, including artificial intelligence, cognitive science, computer science, engineering, mathematics, neuroscience, and physics. Providing an accurate picture of the state of the art in this fast-moving field, the proceedings of this intense two-week program of lectures, workshops, and informal discussions contains timely and high-quality work by the best and the brightest in the neural networks field.

The Discovery of the Artificial

The Discovery of the Artificial PDF Author: R. Cordeschi
Publisher: Springer Science & Business Media
ISBN: 9401598703
Category : Philosophy
Languages : en
Pages : 348

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Book Description
This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data processing systems of all kinds, no matter whether human, (other) animal, or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psychology through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial intelligence and to computer science. While primary emphasis will be placed upon theoretical, conceptual, and epistemological aspects of these problems and domains, empirical, experimental, and methodological studies will also appear from time to time. The present volume offers a broad and imaginative approach to the study of the mind, which emphasizes several themes, namely: the importance of functional organization apart from the specific material by means of which it may be implemented; the use of modeling to simulate these functional processes and subject them to certain kinds of tests; the use of mentalistic language to describe and predict the behavior of artifacts; and the subsumption of processes of adaptation, learning, and intelligence by means of explanatory principles. The author has produced a rich and complex, lucid and readable discussion that clarifies and illuminates many of the most difficult problems arising within this difficult domain.