Advances in Connectionist and Neural Computation Theory Vol. 1: Volume One: Analogical Connections

Author:   John A. Barnden ,  Keith J. Holyoak
Publisher:   Intellect
Volume:   v. 1
ISBN:  

9780893916879


Pages:   400
Publication Date:   01 May 1994
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Advances in Connectionist and Neural Computation Theory Vol. 1: Volume One: Analogical Connections


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Full Product Details

Author:   John A. Barnden ,  Keith J. Holyoak
Publisher:   Intellect
Imprint:   Intellect Books
Volume:   v. 1
Dimensions:   Width: 16.60cm , Height: 3.00cm , Length: 25.40cm
Weight:   0.720kg
ISBN:  

9780893916879


ISBN 10:   0893916870
Pages:   400
Publication Date:   01 May 1994
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

List of Contributors  Foreword  Preface  1 Introduction: Problems for High-Level Connectionism John A. Barnden & Jordan B. Pollack  2 Connectionism and Compositional Semantics David S. Touretzky  3 Symbolic NeuroEngineering for Natural Language Processing: A Multilevel Research Approach Michael G. Dyer  4 Schema Recognition for Text Understanding: An Analog Semantic Feature Approach Lawrence A. Bookman & Richard Alterman  5 A Context-Free Connectionist Parser Which is not Connectionist, But Then it is Not Really Context-Free Either Eugene Charniak & Eugene Santos, Jr. 6 Symbolic/Subsymbolic Sentence Analysis: Exploiting the Best of Two Worlds Wendy G. Lehnert 7 Developing Hybrid Symbolic/Connectionist Models James Hendler CONTENTS 8 Encoding Complex Symbolic Data Structures with Some Unusual Connectionist Techniques John A. Barnden  9 Finding a Maximally Plausible Model of an Inconsistent Theory Mark Derthick  10 The Relevance of Connectionism to AI: A Representation and Reasoning Perspective Lokendra Shastri  11 Steps toward Knowledge-Intensive Connectionist Leaming Joachim Diederich  12 Learning Simple Arithmetic Procedures Garrison W. Cottrell & Fu-Sheng Tsung 13 The Similarity between Connectionist and Other Parallel Computation Models Jiawei Hong & Xiaonan Tan  14 Complex Features in Planning and Understanding: Problems and Opportunities for Connectionism Lawrence Birnbaum  15 Conclusion Jordan Pollack & John Barnden  Author Index  Subject Index

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