×

Uh-oh, it looks like your Internet Explorer is out of date.

For a better shopping experience, please upgrade now.

Connectionism and the Mind: Parallel Processing, Dynamics, and Evolution in Networks / Edition 2
     

Connectionism and the Mind: Parallel Processing, Dynamics, and Evolution in Networks / Edition 2

by William Bechtel, Adele Abrahamsen
 

See All Formats & Editions

ISBN-10: 0631207139

ISBN-13: 9780631207139

Pub. Date: 01/28/2002

Publisher: Wiley

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

Overview

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.pdf

Networks, Robots, and Artificial Life:
http://www.blackwellpublishing.com/pdf/bechtel2.pdf

Product Details

ISBN-13:
9780631207139
Publisher:
Wiley
Publication date:
01/28/2002
Edition description:
REV
Pages:
424
Product dimensions:
6.85(w) x 9.75(h) x 1.25(d)

Table of Contents

Preface.

1. 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.

2. 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.

3. Learning:.

Traditional and Contemporary Approaches to Learning.

Connectionist Models of Learning.

Some Issues Regarding Learning.

Notes.

Sources and Suggested Readings.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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.

Appendix A: Notation.

Appendix B: Glossary.

Bibliography.

Name Index.

Subject Index.

Customer Reviews

Average Review:

Post to your social network

     

Most Helpful Customer Reviews

See all customer reviews