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Connectionist-Symbolic Integration: From Unified to Hybrid Approaches Book

Connectionist-Symbolic Integration: From Unified to Hybrid Approaches
Connectionist-Symbolic Integration: From Unified to Hybrid Approaches, 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, Connectionist-Symbolic Integration: From Unified to Hybrid Approaches has a rating of 4 stars
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Connectionist-Symbolic Integration: From Unified to Hybrid Approaches, 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, Connectionist-Symbolic Integration: From Unified to Hybrid Approaches
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  • Connectionist-Symbolic Integration: From Unified to Hybrid Approaches
  • Written by author Ron Sun
  • Published by Erlbaum, Lawrence Associates, Inc., November 1997
  • 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
  • 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 diversi
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Preface
1An Introduction to Hybrid Connectionist-Symbolic Models1
Pt. IReviews and Overviews11
2An Overview of Strategies for Neurosymbolic Integration13
3Task Structure Level Symbolic-Connectionist Architecture37
4Cognitive Aspects of Neurosymbolic Integration57
5A First Approach to a Taxonomy of Fuzzy-Neural Systems69
Pt. IILearning in Multi-Module Systems89
6A Hybrid Learning Model of Abductive Reasoning91
7A Hybrid Agent Architecture for Reactive Sequential Decision Making113
8A Preprocessing Model for Integrating Case-Based Reasoning and Prototype-Based Neural Network139
9A Step Toward Fully Integrated Hybrid Systems155
10A Distributed Platform for Symbolic-Connectionist Interoperation175
Pt. IIIRepresenting Symbolic Knowledge195
11Micro-Level Hybridization in the Cognitive Architecture Dual197
12An Integrated Symbolic/Connectionist Parsing Architecture209
13A Hybrid System Framework for Disambiguating Word Senses227
14A Localist Network Architecture for Logical Inference245
15A Distributed Associative Memory for Symbolic Reasoning265
16Symbolic Neural Networks Derived from Stochastic Grammar Domain Models279
Pt. IVAcquiring Distributed Representation307
17Structure Matching and Transformation With Distributed Representations309
18Distributed Representations for Terms in Hybrid Reasoning Systems329
19Symbolic Distributed Representations345
Pt. VEpilog363
20An Analysis of Connectionist-Symbolic Integration365
About the Editors374
Index375


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Connectionist-Symbolic Integration: From Unified to Hybrid Approaches, 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, Connectionist-Symbolic Integration: From Unified to Hybrid Approaches

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