Integrating rules and connectionism for robust commonsense reasoning
Author(s)
Bibliographic Information
Integrating rules and connectionism for robust commonsense reasoning
（Sixth-generation computer technology series）
Wiley & Sons, c1994
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"A Wiley-Interscience publication."
Includes bibliographical references (p. 261-270) and index
Description and Table of Contents
Description
One of the more difficult problems for artificial intelligence research involves modelling commonsense reasoning. Traditional models have great difficulties in capturing the flexible and robust nature of commonsense reasoning. This book tackles the problem by adopting innovative approaches that use models consisting of a network of simple, interconnected elements, called neural networks. Using such models, rule-based algorithm reasoning and similarity-based comparison reasoning can be integrated.
Table of Contents
- Accounting for Commonsense Reasoning: A Framework with Rules and Similarities
- A Connectionist Architecture for Commonsense Reasoning
- Evaluations and Experiments
- More on the Architecture: Logic and Causality
- More on the Architecture: Beyond Logic
- An Extension: Variables and Bindings
- Reviews and Comparisons
- Conclusions
- References
- Index.
by "Nielsen BookData"