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Creating A Memory of Causal Relationships
Creating A Memory of Causal Relationships
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Creating A Memory of Causal Relationships

An Integration of Empirical and Explanation-based Learning Methods
Michael J. Pazzani
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360 pages
language
English
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Creating A Memory of Causal Relationships

An Integration of Empirical and Explanation-based Learning Methods
Michael J. Pazzani
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About This Book

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. Please note: This program runs on common lisp.

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Information

Publisher
Taylor and Francis
Year
2013
ISBN
9781134992324
Topic
Psychology
Subtopic
History & Theory in Psychology
Edition
1

Table of contents