Connectionism and the Mind Parallel

Connectionism and the Mind provides a clear and balanced introduction to connectionist networks and explores theoretical and philosophical implications. Much of this discussion from the first edition has been updated, and three new chapters have been added on the relation of connectionism to recent work on dynamical systems theory, artificial life, and cognitive neuroscience.Read two of the sample chapters on line:Connectionism and the Dynamical Approach to Cognition: http://www.blackwellpublishing.com/pdf/bechtel.pdfNetworks, Robots, and Artificial Life: http://www.blackwellpublishing.com/pdf/bechtel2.pdf

William Bechtel is Professor of Philosophy at the University of California, San Diego and Editor of the journal Philosophical Psychology. His publications include Philosophy of Mind (1988), Philosophy of Science (1988), and Discovering Complexity (1993, with Robert Richardson), A Companion to Cognitive Science (with George Graham, Blackwell 1999), Philosophy and the Neurosciences (with Pete Mandik, Jennefer Mundale and Robert S. Stufflebeam, Blackwell 2001).

Adele Abrahamsen is Associate Professor of Psychology and Undergraduate Director of the Philosophy-Neuroscience-Psychology and Linguistics Programs at Washington University in St. Louis. She is the author of Child Language (1977).

Preface
Networks versus Symbol Systems: Two Approaches to Modeling Cognition:.A Revolution in the Making?
Forerunners of Connectionism: Pandemonium and Perceptrons
The Allure of Symbol Manipulation
The Disappearance and Re-emergence of Network Models
New Alliances and Unfinished Business
Notes
Sources and Suggested Readings
Connectionist Architectures:.The Flavor of Connectionist Processing: A Simulation of Memory Retrieval
The Design Features of a Connectionist Architecture
The Allure of the Connectionist Approach
Challenges Facing Connectionist Networks
Summary
Notes
Sources and Suggested Readings
Learning:.Traditional and Contemporary Approaches to Learning
Connectionist Models of Learning
Some Issues Regarding Learning
Notes
Sources and Suggested Readings
Pattern Recognition and Cognition:.Networks as Pattern Recognition Devices
Extending Pattern Recognition to Higher Cognition
Logical Inference as Pattern Recognition
Beyond Pattern Recognition
Notes
Sources and Suggested Readings
Are Rules Required to Process Representations?:.Is Language Use Governed by Rules?
Rumelhart and McClelland's Model of Past-Tense Acquisition
Pinker and Prince's Arguments for Rules
Accounting for the U-Shaped Learning Function
Conclusion
Notes
Sources and Suggested Readings
Are Syntactically Structured Representations Needed?:.Fodor and Pylyshyn's Critique: The Need for Symbolic Representations with Constituent Structure
First Connectionist Response: Explicitly Implementing Rules and Representations
Second Connectionist Response: Implementing Functionally Compositional Representations
Third Connectionist Response: Employing Procedural Knowledge with External Symbols
Using External Symbols to Provide Exact Symbol Processing
Clarifying the Standard: Systematicity and Degree of Generalizability
Conclusion
Notes
Sources and Suggested Readings
Simulating Higher Cognition: A Modular Architecture for Processing Scripts:.Overview of Scripts
Overview of Miikkulainen's DISCERN System
Modular Connectionist Architectures
FGREP: An Architecture that Allows the System to Devise Its Own Representations
A Self-organizing Lexicon using Kohonen Feature Maps
Encoding and Decoding Stories as Scripts
A Connectionist Episodic Memory
Performance: Paraphrasing Stories and Answering Questions
Evaluating DISCERN
Paths Beyond the First Decade of Connectionism
Notes
Sources and Suggested Readings
Connectionism and the Dynamical Approach to Cognition:.Are We on the Road to a Dynamical Revolution?
Basic Concepts of DST: The Geometry of Change
Using Dynamical Systems Tools to Analyze Networks
Putting Chaos to Work in Networks
Is Dynamicism a Competitor to Connectionism?
Is Dynamicism Complementary to Connectionism?
Conclusion
Notes
Sources and Suggested Readings
Networks, Robots, and Artificial Life:.Robots and the Genetic Algorithm
Cellular Automata and the Synthetic Strategy
Evolution and Learning in Food-seekers
Evolution and Development in Khepera
The Computational Neuroethology of Robots
When Philosophers Encounter Robots
Conclusion
Sources and Suggested Readings
Connectionism and the Brain:.Connectionism Meets Cognitive Neuroscience
Four Connectionist Models of Brain Processes
The Neural Implausibility of Many Connectionist Models
Wither Connectionism?
Notes
Sources and Suggested Readings
Notation
Glossary
Bibliography
Name Index
Subject Index
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Connectionism and the Mind Parallel Processing, Dynamics, and Evolution in Networks

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Table of Contents

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