Autonomous, Model-Based Diagnosis Agents

Autonomous, Model-Based Diagnosis Agents

by Michael Schroeder
     
 

Autonomous, Model-Based Diagnosis Agents defines and describes the implementation of an architecture for autonomous, model-based diagnosis agents. It does this by developing a logic programming approach for model-based diagnosis and introducing strategies to deal with more complex diagnosis problems and then embedding the diagnosis framework into the agent… See more details below

Overview

Autonomous, Model-Based Diagnosis Agents defines and describes the implementation of an architecture for autonomous, model-based diagnosis agents. It does this by developing a logic programming approach for model-based diagnosis and introducing strategies to deal with more complex diagnosis problems and then embedding the diagnosis framework into the agent architecture of vivid agents. This comprehensive in-depth study of concepts, architectures, and implementation of autonomous model-based diagnosis agents will be of great value for researchers, engineers, and graduate students with a background in artificial intelligence.

Editorial Reviews

Booknews
For researchers, engineers, and graduate students with a background in artificial intelligence, surveys extended logic programming and shows how it is used to model diagnosis problems arising in applications such as digital circuits, traffic control, checking the integrity of a chemical database, correlating alarms in cellular phone networks, and diagnosing communication protocols. Reviews a bottom-up algorithm to remove contradiction from extended logic programs, and enhances it with a top-down evaluation of the programs. Both algorithms are evaluated in the circuit domain, including some of the ISCAS85 benchmark circuits. Annotation c. by Book News, Inc., Portland, Or.

Product Details

ISBN-13:
9781461376293
Publisher:
Springer US
Publication date:
04/30/2013
Series:
Springer International Series in Engineering and Computer Science, #442
Edition description:
Softcover reprint of the original 1st ed. 1998
Pages:
143
Product dimensions:
6.14(w) x 9.21(h) x 0.35(d)

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