Michael J. Pazzani

Creating A Memory of Causal Relationships (eBook, PDF)

An Integration of Empirical and Explanation-based Learning Methods

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 360
• Erscheinungstermin: 7. März 2013
• Englisch
• ISBN-13: 9781134992256
• Artikelnr.: 38248267

Autorenporträt

Michael J. Pazzani

Inhaltsangabe

Contents: Introduction. What OCCAM Is Up Against. Similarity-Based Learning
in OCCAM. Theory-Driven Learning in OCCAM. Explanation-Based Learning in
OCCAM. Integration of Learning Methods. Experiments in Integrated Learning.
Future Directions and Conclusions. Appendices: Data Listing. Program
Traces. Prolog OCCAM. OCCAM's Generalization Rules. Listing of Economic
Sanction Incidents.