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Connectionism and the mind : parallel processing, dynamics, and evolution in networks 2nd ed

Connectionism and the mind : parallel processing, dynamics, and evolution in networks 2nd ed (5회 대출)

자료유형
단행본
개인저자
Bechtel, William. Abrahamsen, Adele A.
서명 / 저자사항
Connectionism and the mind : parallel processing, dynamics, and evolution in networks / William Bechtel and Adele Abrahamsen.
판사항
2nd ed.
발행사항
Malden, Mass. ;   Oxford, England :   Blackwell,   2002.  
형태사항
xvi, 406 p. : ill. ; 25 cm.
ISBN
0631207120 0631207139 (pbk.)
서지주기
Includes bibliographical references (p. [363]-383) and index.
일반주제명
Parallel processing (Electronic computers) Computer networks.
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020 ▼a 0631207120
020 ▼a 0631207139 (pbk.)
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100 1 ▼a Bechtel, William.
245 1 0 ▼a Connectionism and the mind : ▼b parallel processing, dynamics, and evolution in networks / ▼c William Bechtel and Adele Abrahamsen.
250 ▼a 2nd ed.
260 ▼a Malden, Mass. ; ▼a Oxford, England : ▼b Blackwell, ▼c 2002.
300 ▼a xvi, 406 p. : ▼b ill. ; ▼c 25 cm.
504 ▼a Includes bibliographical references (p. [363]-383) and index.
650 0 ▼a Parallel processing (Electronic computers)
650 0 ▼a Computer networks.
700 1 ▼a Abrahamsen, Adele A.

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고6층/ 청구기호 004.6 B392c2 등록번호 111230091 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

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.


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