Creating A Memory of Causal Relationships

Released on by Michael J. Pazzani
preview-18

  • Creating A Memory of Causal Relationships Book Detail

  • Author : Michael J. Pazzani
  • Release Date : 2014-02-25
  • Publisher : Psychology Press
  • Genre : Psychology
  • Pages : 361
  • ISBN 13 : 1317783921
  • File Size : 51,51 MB
DOWNLOAD BOOK

Creating A Memory of Causal Relationships by Michael J. Pazzani PDF Summary

Book 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. Please note: This program runs on common lisp.

Disclaimer: www.yourbookbest.com does not own Creating A Memory of Causal Relationships books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Creating A Memory of Causal Relationships

Creating A Memory of Causal Relationships

File Size : 4,4 MB
Total View : 6570 Views
DOWNLOAD

This book presents a theory of learning new causal relationships by making use of perceived regularities in the environment, general knowledge of causality, and