Creating A Memory of Causal Relationships : An Integration of Empirical and Explanation-based Learning Methods

Language: English

Published by Taylor & Francis Ltd Okt 2016, 2016

1138966916 / 9781138966918

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Neuware - 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.

Seller Inventory # 9781138966918

Title
Creating A Memory of Causal Relationships : An Integration of Empirical and Explanation-based Learning Methods
Author
Michael J. Pazzani
Publisher
Taylor & Francis Ltd Okt 2016
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1138966916
ISBN 13
9781138966918
Item weight
485 grams
Dimensions
229x152x19 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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