Generic Inference: A Unifying Theory for Automated Reasoning

Generic Inference: A Unifying Theory for Automated Reasoning

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Overview

Generic Inference: A Unifying Theory for Automated Reasoning by Marc Pouly, Juerg Kohlas

This book provides a rigorous algebraic study of the most popular inference formalisms with a special focus on their wide application area, showing that all these tasks can be performed by a single generic inference algorithm. Written by the leading international authority on the topic, it includes an algebraic perspective (study of the valuation algebra framework), an algorithmic perspective (study of the generic inference schemes) and a "practical" perspective (formalisms and applications). Researchers in a number of fields including artificial intelligence, operational research, databases and other areas of computer science; graduate students; and professional programmers of inference methods will benefit from this work.

Product Details

ISBN-13: 9781118010860
Publisher: Wiley
Publication date: 01/10/2012
Sold by: Barnes & Noble
Format: NOOK Book
Pages: 250
File size: 10 MB

About the Author

Marc Pouly, PhD, received the Award for Outstanding PhD Thesis in Computer Science at the University of Fribourg (Switzerland), in 2008. He was visiting researcher at the Cork Constraint Computation Centre in Ireland and, since 2010, he is researcher at the Interdisciplinary Centre for Security, Reliability and Trust of the University of Luxembourg.

Jürg Kohlas, PhD, is Professor of Theoretical Computer Science in the Department of Informatics at the University of Fribourg (Switzerland). His research interests include algebraic theory of information and probabilistic argumentation.

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