Creating a Memory of Casual Relationships: An Integration of Empirical and Explanation-Based Learning Methods

Michael J. Pazzani

ISBN 10: 0805806296 / ISBN 13: 9780805806298

Published by Lawrence Erlbaum, 1990

About this Item

1st edition. 360 pages. 9.20x6.42x1.11 inches. In Stock.

Seller Inventory # x-0805806296

Bibliographic Details

• Title: Creating a Memory of Casual Relationships: An Integration of Empirical and Explanation-Based Learning Methods
• Publisher: Lawrence Erlbaum
• Publication Date: 1990
• Language: English
• ISBN 10: 0805806296
• ISBN 13: 9780805806298
• Binding: Hardcover
• Condition: Brand New
• Weight: 0.83 kilograms

About this title

Synopsis

This book presents a theory of learning new causal relationships by making use of perceived regularities in the environment, general knowledge of causality, and existing causal knowledge. Integrating ideas from the psychology of causation and machine learning, the author introduces a new learning procedure called theory-driven learning that uses abstract knowledge of causality to guide the induction process.

Known as OCCAM, the system uses theory-driven learning when new experiences conform to common patterns of causal relationships, empirical learning to learn from novel experiences, and explanation-based learning when there is sufficient existing knowledge to explain why a new outcome occurred. Together these learning methods construct a hierarchical organized memory of causal relationships. As such, OCCAM is the first learning system with the ability to acquire, via empirical learning, the background knowledge required for explanation-based learning.

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About the Author

Michael J. Pazzani