Optimization Methods for Logical Inference, 1st Edition, 9780471570356
Hardcover
Logic has recently become a basic modelling tool alongside mathematics, and the two styles of modelling are beginning to combine. This volume exploits the similarity of certain logical and optimization problems to solve inference problems more rapidly than with traditional AI techniques.

Optimization Methods for Logical Inference, 1st Edition

$485.98

  • Hardcover

    384 pages

  • Release Date

    15 March 1999

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Summary

Merging logic and mathematics in deductive inference-an innovative, cutting-edge approach. Optimization methods for logical inference? Absolutely, say Vijay Chandru and John Hooker, two major contributors to this rapidly expanding field. And even though “solving logical inference problems with optimization methods may seem a bit like eating sauerkraut with chopsticks… it is the mathematical structure of a problem that determines whether an optimization model can help solve it, not the contex…

Book Details

ISBN-13:9780471570356
ISBN-10:0471570354
Series:Wiley Series in Discrete Mathematics and Optimization
Author:Vijay Chandru, John Hooker
Publisher:John Wiley & Sons Inc
Imprint:Wiley-Interscience
Format:Hardcover
Number of Pages:384
Edition:1st
Release Date:15 March 1999
Weight:662g
Dimensions:243mm x 160mm x 25mm
What They're Saying

Critics Review

”…the first monograph devoted to a new interesting research area combining logic with optimization methods.” (Mathematical Reviews, Issue 2001j)

”…the first monograph devoted to a new interesting research area combining logic with optimization methods.” (Mathematical Reviews, Issue 2001j)

About The Author

Vijay Chandru

VIJAY CHANDRU is a professor in the Computer Science and Automation Department at the Indian Institute of Science in Bangalore, India. JOHN N. HOOKER is a professor in the Graduate School of Industrial Administration at Carnegie Mellon University.

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