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lgorithms and ordering heuristics for distributed constraint satisfaction problems / Mohamed Wahbi.

Ebook Central Academic Complete Available online

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Ebook Central College Complete Available online

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Format:
Book
Author/Creator:
Wahbi, Mohamed.
Contributor:
International Society for Technology in Education, publisher.
Series:
Focus series (London, England)
Focus Series
Language:
English
Subjects (All):
Computer algorithms.
Image processing--Digital techniques.
Image processing.
Neural computers.
Physical Description:
1 online resource (167 p.)
Edition:
1st ed.
Place of Publication:
London : ISTE ; Hoboken, N.J. : Wiley, c2013.
Language Note:
English
Summary:
DisCSP (Distributed Constraint Satisfaction Problem) is a general framework for solving distributed problems arising in Distributed Artificial Intelligence.A wide variety of problems in artificial intelligence are solved using the constraint satisfaction problem paradigm. However, there are several applications in multi-agent coordination that are of a distributed nature. In this type of application, the knowledge about the problem, that is, variables and constraints, may be logically or geographically distributed among physical distributed agents. This distribution is mainly due to p
Contents:
Title Page; Contents; Preface; Introduction; Part 1: Background on Centralized and Distributed Constraint Reasoning; Chapter 1. Constraint Satisfaction Problems; 1.1. Centralized constraint satisfaction problems; 1.1.1. Preliminaries; 1.1.2. Examples of CSPs; 1.2. Algorithms and techniques for solving centralized CSPs; 1.2.1. Algorithms for solving centralized CSPs; 1.2.2. Variable ordering heuristics for centralized CSPs; 1.3. Summary; Chapter 2. Distributed Constraint Satisfaction Problems; 2.1. Distributed constraint satisfaction problems; 2.1.1. Preliminaries; 2.1.2. Examples of DisCSPs
2.1.3. Distributed meeting scheduling problem (DisMSP)2.1.4. Distributed sensor network problem (SensorDCSP); 2.2. Methods for solving DisCSPs; 2.2.1. Synchronous search algorithms on DisCSPs; 2.2.2. Asynchronous search algorithms on DisCSPs; 2.2.3. Dynamic ordering heuristics on DisCSPs; 2.2.4. Maintaining arc consistency on DisCSPs; 2.3. Summary; Part 2: Synchronous Search Algorithms for DisCSPs; Chapter 3. Nogood-based Asynchronous Forward Checking (AFC-ng); 3.1. Introduction; 3.2. Nogood-based asynchronous forward checking; 3.2.1. Description of the algorithm
3.2.2. A simple example of the backtrack operation on AFC-like algorithms3.3. Correctness proofs; 3.4. Experimental evaluation; 3.4.1. Uniform binary random DisCSPs; 3.4.2. Distributed sensor-target problems; 3.4.3. Distributed meeting scheduling problems; 3.4.4. Discussion; 3.5. Summary; Chapter 4. Asynchronous Forward-Checking Tree(AFC-tree); 4.1. Introduction; 4.2. Pseudo-tree ordering; 4.3. Distributed depth-first search tree construction; 4.4. The AFC-tree algorithm; 4.4.1. Description of the algorithm; 4.5. Correctness proofs; 4.6. Experimental evaluation
4.6.1. Uniform binary random DisCSPs4.6.2. Distributed sensor-target problems; 4.6.3. Distributed meeting scheduling problems; 4.6.4. Discussion; 4.7. Other related works; 4.8. Summary; Chapter 5. Maintaining Arc Consistency Asynchronously in Synchronous Distributed Search; 5.1. Introduction; 5.2. Maintaining arc consistency; 5.3. Maintaining arc consistency asynchronously; 5.3.1. Enforcing AC using del messages (MACA-del); 5.3.2. Enforcing AC without additional kind of message (MACA-not); 5.4. Theoretical analysis; 5.5. Experimental results; 5.5.1. Discussion; 5.6. Summary
Part 3: Asynchronous Search Algorithms and Ordering Heuristics for DisCSPsChapter 6. Corrigendum to "Min-Domain Retroactive Ordering for Asynchronous Backtracking"; 6.1. Introduction; 6.2. Background; 6.3. ABT_DO-Retro may not terminate; 6.4. The right way to compare orders; 6.5. Summary; Chapter 7.Agile Asynchronous Backtracking(Agile-ABT); 7.1. Introduction; 7.2. Introductory material; 7.2.1. Reordering details; 7.2.2. The backtracking target; 7.2.3. Decreasing termination values; 7.3. The algorithm; 7.4. Correctness and complexity; 7.5. Experimental results
7.5.1. Uniform binary random DisCSPs
Notes:
Description based upon print version of record.
Includes bibliographical references and index.
Description based on online resource; title from title page (ebrary, viewed July 19, 2013).
ISBN:
9781118753620
1118753623
9781118753521
1118753526
9781118753422
1118753429
OCLC:
852758626

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