Connectionist-Symbolic Integration: From Unified to Hybrid Approaches

Overview

A variety of ideas, approaches, and techniques exist — in terms of both architecture and learning — and this abundance seems to lead to many exciting possibilities in terms of theoretical advances and application potentials. Despite the apparent diversity, there is clearly an underlying unifying theme: architectures that bring together symbolic and connectionist models to achieve a synthesis and synergy of the two different paradigms, and the learning and knowledge acquisition methods for developing such ...

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Connectionist-Symbolic Integration: From Unified to Hybrid Approaches

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Overview

A variety of ideas, approaches, and techniques exist — in terms of both architecture and learning — and this abundance seems to lead to many exciting possibilities in terms of theoretical advances and application potentials. Despite the apparent diversity, there is clearly an underlying unifying theme: architectures that bring together symbolic and connectionist models to achieve a synthesis and synergy of the two different paradigms, and the learning and knowledge acquisition methods for developing such architectures. More effort needs to be extended to exploit the possibilities and opportunities in this area.

This book is the outgrowth of The IJCAI Workshop on Connectionist-Symbolic Integration: From Unified to Hybrid Approaches, held in conjunction with the fourteenth International Joint Conference on Artificial Intelligence (IJCAI '95). Featuring various presentations and discussions, this two-day workshop brought to light many new ideas, controversies, and syntheses which lead to the present volume.

This book is concerned with the development, analysis, and application of hybrid connectionist-symbolic models in artificial intelligence and cognitive science. Drawing contributions from a large international group of experts, it describes and compares a variety of models in this area. The types of models discussed cover a wide range of the evolving spectrum of hybrid models, thus serving as a well-balanced progress report on the state of the art. As such, this volume provides an information clearinghouse for various proposed approaches and models that share the common belief that connectionist and symbolic models can be usefully combined and integrated, and such integration may lead to significant advances in understanding intelligence.

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Product Details

  • ISBN-13: 9780805823493
  • Publisher: Taylor & Francis
  • Publication date: 10/28/1997
  • Pages: 392
  • Product dimensions: 6.00 (w) x 8.90 (h) x 1.10 (d)

Table of Contents

Preface
1 An Introduction to Hybrid Connectionist-Symbolic Models 1
Pt. I Reviews and Overviews 11
2 An Overview of Strategies for Neurosymbolic Integration 13
3 Task Structure Level Symbolic-Connectionist Architecture 37
4 Cognitive Aspects of Neurosymbolic Integration 57
5 A First Approach to a Taxonomy of Fuzzy-Neural Systems 69
Pt. II Learning in Multi-Module Systems 89
6 A Hybrid Learning Model of Abductive Reasoning 91
7 A Hybrid Agent Architecture for Reactive Sequential Decision Making 113
8 A Preprocessing Model for Integrating Case-Based Reasoning and Prototype-Based Neural Network 139
9 A Step Toward Fully Integrated Hybrid Systems 155
10 A Distributed Platform for Symbolic-Connectionist Interoperation 175
Pt. III Representing Symbolic Knowledge 195
11 Micro-Level Hybridization in the Cognitive Architecture Dual 197
12 An Integrated Symbolic/Connectionist Parsing Architecture 209
13 A Hybrid System Framework for Disambiguating Word Senses 227
14 A Localist Network Architecture for Logical Inference 245
15 A Distributed Associative Memory for Symbolic Reasoning 265
16 Symbolic Neural Networks Derived from Stochastic Grammar Domain Models 279
Pt. IV Acquiring Distributed Representation 307
17 Structure Matching and Transformation With Distributed Representations 309
18 Distributed Representations for Terms in Hybrid Reasoning Systems 329
19 Symbolic Distributed Representations 345
Pt. V Epilog 363
20 An Analysis of Connectionist-Symbolic Integration 365
About the Editors 374
Index 375
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