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Algorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems

Algorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems Image

Book Details:

Publisher:Wiley-ISTE
Series: Wiley
Author:Mohamed Wahbi
Edition:1
ISBN-10:1848215940
ISBN-13:9781848215948
Pages:176
Published:Jul 10 2013
Posted:Nov 19 2014
Language:English
Book format:PDF
Book size:2.58 MB

Book Description:

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 privacy and/or security requirements. Therefore, a distributed model allowing a decentralized solving process is more adequate to model and solve such kinds of problem. The distributed constraint satisfaction problem has such properties.ContentsIntroductionPart 1. Background on Centralized and Distributed Constraint Reasoning1. Constraint Satisfaction Problems2. Distributed Constraint Satisfaction ProblemsPart 2. Synchronous Search Algorithms for DisCSPs3. Nogood Based Asynchronous Forward Checking (AFC-ng)4. Asynchronous Forward Checking Tree (AFC-tree)5. Maintaining Arc Consistency Asynchronously in Synchronous Distributed SearchPart 3. Asynchronous Search Algorithms and Ordering Heuristics for DisCSPs6. Corrigendum to 'Min-domain Retroactive Ordering for Asynchronous Backtracking'7. Agile Asynchronous BackTracking (Agile-ABT)Part 4. DisChoco 2.0: A Platform for Distributed Constraint Reasoning8. DisChoco 2.09. ConclusionAbout the AuthorsMohamed Wahbi is currently an associate lecturer at Ecole des Mines de Nantes in France. He received his PhD degree in Computer Science from University Montpellier 2, France and Mohammed V University-Agdal, Morocco in 2012 and his research focused on Distributed Constraint Reasoning.

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