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Creating a Memory of Causal Relationships: An Integration of Empirical and Explanation-Based Learning Methods
Contributor(s): Pazzani, Michael J. (Author)
ISBN: 1138966916     ISBN-13: 9781138966918
Publisher: Psychology Press
OUR PRICE:   $60.79  
Product Type: Paperback - Other Formats
Published: October 2016
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Psychology | Cognitive Psychology & Cognition
Lexile Measure: 1230
Physical Information: 360 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
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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