Makoto Yokoo

Distributed Constraint Satisfaction (eBook, PDF)

Foundations of Cooperation in Multi-agent Systems

• Format: PDF

Produktbeschreibung

Distributed Constraint Satisfaction gives an overview of Constraint Satisfaction Problems (CSPs), adapts related search algorithms and consistency algorithms for applications to multi-agent systems, and consolidates recent research devoted to cooperation in such systems. The techniques introduced are applied to various problems in multi-agent systems. Among the new approaches is a hybrid-type algorithm for weak-commitment search combining backtracking and iterative improvement. Also, an extension of the basic CSP formalization called "Partial CSP" is introduced in order to handle over-constrained CSPs.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 143
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9783642595462
• Artikelnr.: 53105938

Inhaltsangabe

1. Constraint Satisfaction Problem.- 1.1 Introduction.- 1.2 Problem Definition.- 1.3 Algorithms for Solving CSPs.- 1.4 Hybrid-Type Algorithm of Backtracking and Iterative Improvement.- 1.5 Analyzing Landscape of CSPs.- 1.6 Partial Constraint Satisfaction Problem.- 1.7 Summary.- 2. Distributed Constraint Satisfaction Problem.- 2.1 Introduction.- 2.2 Problem Formalization.- 2.3 Application Problems.- 2.4 Classification of Algorithms for Solving Distributed CSPs.- 2.5 Summary.- 3. Asynchronous Backtracking.- 3.1 Introduction.- 3.2 Assumptions.- 3.3 Simple Algorithms.- 3.4 Asynchronous Backtracking Algorithm.- 3.5 Evaluations.- 3.6 Summary.- 4. Asynchronous Weak-Commitment Search.- 4.1 Introduction.- 4.2 Basic Ideas.- 4.3 Details of Algorithm.- 4.4 Example of Algorithm Execution.- 4.5 Algorithm Completeness.- 4.6 Evaluations.- 4.7 Summary.- 5. Distributed Breakout.- 5.1 Introduction.- 5.2 Breakout Algorithm.- 5.3 Basic Ideas.- 5.4 Details of Algorithm.- 5.5 Example of Algorithm Execution.- 5.6 Evaluations.- 5.7 Discussions.- 5.8 Summary.- 6. Distributed Consistency Algorithm.- 6.1 Introduction.- 6.2 Overview of Distributed ATMS.- 6.3 Distributed Consistency Algorithm Using Distributed ATMS..- 6.4 Example of Algorithm Execution.- 6.5 Evaluations.- 6.6 Summary.- 7. Handling Multiple Local Variables.- 7.1 Introduction.- 7.2 Agent-Prioritization Approach.- 7.3 Asynchronous Weak-Commitment Search with Multiple Local Variables.- 7.4 Evaluations.- 7.5 Summary.- 8. Handling Over-Constrained Situations.- 8.1 Introduction.- 8.2 Problem Formalization.- 8.3 Distributed Maximal CSPs.- 8.4 Distributed Hierarchical CSPs.- 8.5 Summary.- 9. Summary and Future Issues.