Connectionism in Context

by Andy Clark (Editor), Rudi Lutz (Editor)

Overview

Connectionism in Context aims to broaden and extend the debate concerning the significance of connectionist models.
The volume collects together a variety of perspectives by experimental and developmental psychologists, philosophers and active AI researchers. These contributions relate con-
nectionist ideas to historical psychlogical debates, e.g.,
over behaviourism and associationism, to develop-
mental and philosophical issues. The result is a volume which addresses both familiar, but central, topics such as the relation between connectionism and classical AI, and less familiar, but highly challenging topics, such as connectionism,associationism and behaviourism, the dis-
tinction between perception and cognition, the role of en-
vironmental structure, and the potential value ofconnec-
tionism 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.

Product Details

ISBN-13:	9783540197164
Publisher:	Springer London
Publication date:	03/25/1992
Series:	Human-centred Systems
Edition description:	1st Edition.
Pages:	181
Product dimensions:	6.69(w) x 9.53(h) x 0.02(d)

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.