Overview

Connectionism is a generic term which embraces a large variety of specific algorithmic forms and architectures. What unites the models is a commitment to the use of simple individual processing units, arranged to process information by a form of co-operative parallelism. As such, it is an approach to computation that differs significantly from the more conventional symbol processing methods traditionally associated with artificial intelligence. The field of connectionism is one of the fastest growing and most genuienly interdisciplinary areas in contemporary cognitive scienct. ""Connectionism in Context"" aims to broaden and extend the debate concerning the significance fo connectionist models. The volume collects together a variety of perspectives by experimental and developmental psychologists, philosphers and active A1 researchers. These contributions relate connectionist ideas to historical psychological debates, for example, over behaviourism and associationism, to developmental and philosophical issues. The result is a volume which addresses both familiar, but central, topics such as the relation between connectionism and classical A2, and less familiar, but highly challenging topics, such as connectionism, associationsim and behaviourism, the distinction between percpetion and cognition, the role of environmental structure, and the potential value of connectionism as a means of ""symbol grounding"". The nine essays have been written with an interdisciplinary audience in mind and avoid both technical jargon and heavy mathematics.

Full Product Details

Author:   Andy Clark ,  Rudi Lutz
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Edition. ed.
Dimensions:   Width: 17.00cm , Height: 1.00cm , Length: 24.20cm
Weight:   0.341kg
ISBN:  

9783540197164

ISBN 10:   3540197168
Pages:   181
Publication Date:   25 February 1992
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

1. Introduction.- Architecture and Properties l.- A Copernican Revolution.- Distributed Representations and Context Dependence.- The Nature of Thought.- 2. Action, Connectionism and Enaction: A Developmental Perspective.- Background.- Symbols, Connectionism and Innate Knowledge.- System Scale and the Control of Action.- Development, Emergence and Enaction.- Conclusion.- 3. Connectionism and Why Fodor and Pylyshyn Are Wrong.- The Case Against Connectionism.- What’s Wrong with this Argument.- What’s Wrong with this Defence?.- On Behalf of Neural Networks.- 4. Connectionism, Classical Cognitive Science and Experimental Psychology.- Classicism Versus Connectionism.- The Psychological Data.- Theory.- Modelling.- Conclusions.- 5. Connecting Object to Symbol in Modelling Cognition.- Symbol Systems.- The Symbolic Theory of Mind.- The Symbol Grounding Problem.- Neural Nets.- Transducers and Analogue Transformations.- Robotic Capacities: Discrimination and Identification.- Philosophical Objections to Bottom-Up Grounding of Concrete and Abstract Categories.- Categorical Perception and Category-Learning.- Neural Net and CP.- Analogue Constraints on Symbols.- 6 Active Symbols and Internal Models: Towards a Cognitive Connectionism.- Criticisms of Connectionism.- The Active Symbol.- Higher-Level Processes.- Summary and Concluding Remarks.- 7. Thinking Persons and Cognitive Science.- Extending Content.- The Credentials of Cognition.- Consciousness and What It Is Like.- Conceptualized Content and the Structure of Thinking.- Inference and Causal Systernaticity.- Reconstructing the Mind.- 8. A Brief History of Connectionism and Its Psychological Implications.- Connectionist Assumptions in Earlier Psychologies.- Comparisons of Old and New Connectionism.- Conclusions.- 9. Connectionismand Artificial Intelligence as Cognitive Models.- Artificial Intelligence.- Connectionism.- Classical AI and Connectionism.- 10. The Neural Dynamics of Conversational Coherence.- Previous Research.- A Neurally Inspired Model of Coherence.- Some Experimental Results.- How Associative Is Conversation?.- Final on the Purpose of Conversation.

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