Holiday Savings at BAM!
 
(2)
 
Probabilistic Reasoning in Intelligent Systems : Networks of Plausible Inference
by Judea Pearl

Overview -

"Probabilistic Reasoning in Intelligent Systems" is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.  Read more...


 
Paperback
  • $110.00

Add to Cart + Add to Wishlist

In Stock. Place Order by Noon EST December 23rd and Choose Next Day Shipping for Christmas Delivery.

This item is Non-Returnable.
Free Shipping is not available for this item.

Not a member? Join Today!
 
 
New & Used Marketplace 17 copies from $47.00
 
eBook
Retail Price: $72.95
$60.69

Add to Cart + Add to Wishlist

Download

 
 
 

More About Probabilistic Reasoning in Intelligent Systems by Judea Pearl
 
 
 
Overview

"Probabilistic Reasoning in Intelligent Systems" is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.

The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information.

"Probabilistic Reasoning in Intelligent Systems" will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.


This item is Non-Returnable.

 
Details
  • ISBN-13: 9781558604797
  • ISBN-10: 1558604790
  • Publisher: Morgan Kaufmann Publishers
  • Publish Date: September 1988
  • Page Count: 552

Series: Morgan Kaufmann Series in Representation and Reasoning

Related Categories

Books > Philosophy > General
Books > Computers & Internet > Intelligence (AI) & Semantics

 
BAM Customer Reviews

DISCUSSION