Autonomous, Model-Based Diagnosis Agents

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 ...
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Paperback (Softcover reprint of the original 1st ed. 1998)
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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.
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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.
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Product Details

Table of Contents

List of Figures
Acknowledgments
Preface
1 Introduction 1
1.1 Motivation 2
1.2 Main Contributions 8
1.3 Organisation 9
2 Model-Based Diagnosis 11
2.1 Heuristic Diagnosis vs. Model-based Diagnosis 11
2.2 The Model 13
2.3 Consistency-based and Abductive Diagnosis 15
2.4 Diagnosis Engines 17
3 Logic Programming and Diagnosis 19
3.1 Extended Logic Programming 20
3.2 Modelling Diagnosis Problems 25
3.3 Revise - A System for Program Revision 37
4 Strategies in Diagnosis 55
4.1 Introduction 55
4.2 A Strategy Language 57
4.3 A Strategy Knowledge Base for Circuit Diagnosis 65
4.4 Operational Semantics and an Algorithm 69
4.5 Extensions of the Strategy Language 76
5 Autonomous Agents 83
5.1 Introduction 83
5.2 Vivid Agents 85
5.3 Concurrent Action and Planning 92
5.4 Distributed Diagnosis of a Computer Network 104
5.5 Diagnosis of a Communication Protocol 107
5.6 Summary 110
6 Conclusions 113
6.1 Comparisons 113
6.2 General Evaluation 120
6.3 Future Work 121
7 Proofs and Proof Sketches 123
References 127
Index 141
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