Distributed Constraint Satisfaction

Author: Makoto Yokoo
Editor: Springer Science & Business Media
ISBN: 3642595464
File Size: 38,64 MB
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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.

Distributed Constraint Problem Solving And Reasoning In Multi Agent Systems

Author: Weixiong Zhang
Editor: IOS Press
ISBN: 9781586034566
File Size: 18,14 MB
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Distributed and multi-agent systems are becoming more and more the focus of attention in artificial intelligence research and have already found their way into many practical applications. An important prerequisite for their success is an ability to flexibly adapt their behavior via intelligent cooperation. Successful reasoning about and within a multi-agent system is therefore paramount to achieve intelligent behavior. Distributed Constraint Satisfaction Problems (DCSPs) and Distributed Constraint Optimization (minimization) Problems (DCOPs) are perhaps ubiquitous in distributed systems in dynamic environments. Many important problems in distributed environments and systems, such as action coordination, task scheduling and resource allocation, can be formulated and solved as DCSPs and DCOPs. Therefore, techniques for solving DCSPs and DCOPs as well as strategies for automated reasoning in distributed systems are indispensable tools in the research areas of distributed and multi-agent systems. They also provide promising frameworks to deal with the increasingly diverse range of distributed real world problems emerging from the fast evolution of communication technologies. The volume is divided in two parts. One part contains papers on distributed constraint problems in multi-agent systems. The other part presents papers on Agents and Automated Reasoning.

On The Feasibility Of Distributed Constraint Satisfaction

Author: Zeev Collin
Editor:
ISBN:
File Size: 63,32 MB
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Algorithms And Ordering Heuristics For Distributed Constraint Satisfaction Problems

Author: Mohamed Wahbi
Editor: John Wiley & Sons
ISBN: 1118753429
File Size: 18,76 MB
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DisCSP (Distributed Constraint Satisfaction Problem) is ageneral framework for solving distributed problems arising inDistributed Artificial Intelligence. A wide variety of problems in artificial intelligence are solvedusing the constraint satisfaction problem paradigm. However, thereare several applications in multi-agent coordination that are of adistributed nature. In this type of application, the knowledgeabout the problem, that is, variables and constraints, may belogically or geographically distributed among physical distributedagents. This distribution is mainly due to privacy and/or securityrequirements. Therefore, a distributed model allowing adecentralized solving process is more adequate to model and solvesuch kinds of problem. The distributed constraint satisfactionproblem has such properties. Contents Introduction Part 1. Background on Centralized and Distributed ConstraintReasoning 1. Constraint Satisfaction Problems 2. Distributed Constraint Satisfaction Problems Part 2. Synchronous Search Algorithms for DisCSPs 3. Nogood Based Asynchronous Forward Checking (AFC-ng) 4. Asynchronous Forward Checking Tree (AFC-tree) 5. Maintaining Arc Consistency Asynchronously in SynchronousDistributed Search Part 3. Asynchronous Search Algorithms and Ordering Heuristics forDisCSPs 6. Corrigendum to “Min-domain Retroactive Ordering forAsynchronous Backtracking” 7. Agile Asynchronous BackTracking (Agile-ABT) Part 4. DisChoco 2.0: A Platform for Distributed ConstraintReasoning 8. DisChoco 2.0 9. Conclusion About the Authors Mohamed Wahbi is currently an associate lecturer at Ecole desMines de Nantes in France. He received his PhD degree in ComputerScience from University Montpellier 2, France and Mohammed VUniversity-Agdal, Morocco in 2012 and his research focused onDistributed Constraint Reasoning.

A Hybrid Algorithm For Distributed Constraint Satisfaction Problems

Author: Qiangyi Luo
Editor:
ISBN:
File Size: 15,78 MB
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Lgorithms And Ordering Heuristics For Distributed Constraint Satisfaction Problems

Author: Mohamed Wahbi
Editor:
ISBN:
File Size: 59,15 MB
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Self Stabilizing Distributed Constraint Satisfaction

Author: Zeev Collin
Editor:
ISBN:
File Size: 79,87 MB
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A Class Of Algorithms For Distributed Constraint Optimization

Author: Adrian Petcu
Editor: IOS Press
ISBN: 158603989X
File Size: 63,19 MB
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Addresses three major issues that arise in Distributed Constraint Optimization Problems (DCOP): efficient optimization algorithms, dynamic and open environments, and manipulations from self-interested users. This book introduces a series of DCOP algorithms, which are based on dynamic programming.

Constraint Satisfaction Problems

Author: Khaled Ghedira
Editor: John Wiley & Sons
ISBN: 1118575016
File Size: 31,47 MB
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A Constraint Satisfaction Problem (CSP) consists of a set ofvariables, a domain of values for each variable and a set ofconstraints. The objective is to assign a value for each variablesuch that all constraints are satisfied. CSPs continue to receiveincreased attention because of both their high complexity and theiromnipresence in academic, industrial and even real-life problems.This is why they are the subject of intense research in bothartificial intelligence and operations research. This bookintroduces the classic CSP and details severalextensions/improvements of both formalisms and techniques in orderto tackle a large variety of problems. Consistency, flexible,dynamic, distributed and learning aspects are discussed andillustrated using simple examples such as the n-queen problem. Contents 1. Foundations of CSP. 2. Consistency Reinforcement Techniques. 3. CSP Solving Algorithms. 4. Search Heuristics. 5. Learning Techniques. 6. Maximal Constraint Satisfaction Problems. 7. Constraint Satisfaction and Optimization Problems. 8. Distibuted Constraint Satisfaction Problems. About the Authors Khaled Ghedira is the general managing director of the TunisScience City in Tunisia, Professor at the University of Tunis, aswell as the founding president of the Tunisian Association ofArtificial Intelligence and the founding director of the SOIEresearch laboratory. His research areas include MAS, CSP, transportand production logistics, metaheuristics and security inM/E-government. He has led several national and internationalresearch projects, supervised 30 PhD theses and more than 50Master’s theses, co-authored about 300 journal, conferenceand book research papers, written two text books on metaheuristicsand production logistics and co-authored three others.

Constraint Satisfaction

Author: Source Wikipedia
Editor: University-Press.org
ISBN: 9781230563879
File Size: 27,27 MB
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 62. Chapters: Decomposition method, Local consistency, Constraint logic programming, Complexity of constraint satisfaction, Distributed constraint optimization, Backjumping, Constraint satisfaction problem, Difference map algorithm, Reasoning system, Satisfiability Modulo Theories, Constraint programming, Concurrent constraint logic programming, Constraint satisfaction dual problem, Local search, Constraint learning, DPLL algorithm, Hybrid algorithm, Look-ahead, ECLiPSe, Min-conflicts algorithm, Constraint Handling Rules, SWI-Prolog, AC-3 algorithm, Natural Constraint Language, Allen's Interval Algebra, Ordered graph, Region connection calculus, Constraint Composite Graph, Davis-Putnam algorithm, WalkSAT, Backmarking, Spatial-temporal reasoning, Schaefer's dichotomy theorem, Beaver bit-vector decision procedure, Mixed Set Programming, Constraint inference, Hidden transformation, Nurse scheduling problem, GNU Prolog, Gecode, Consensus dynamics, Constraint graph, Cassowary, Hierarchical constraint satisfaction, JaCoP, Chaff algorithm, Barrier function, Basis pursuit, Binary constraint, Kaleidoscope, Minion, Regular constraint, CHIP. Excerpt: In constraint satisfaction, a decomposition method translates a constraint satisfaction problem into another constraint satisfaction problem that is binary and acyclic. Decomposition methods work by grouping variables into sets, and solving a subproblem for each set. These translations are done because solving binary acyclic problems is a tractable problem. Each structural restriction defined a measure of complexity of solving the problem after conversion; this measure is called width. Fixing a maximal allowed width is a way for identifying a subclass of constraint satisfaction problems. Solving problems in this class is polynomial for most decompositions; if this holds for a decomposition, ..

Principles And Practice Of Constraint Programming

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File Size: 23,46 MB
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Principles And Practice Of Constraint Programming Cp 2000

Author: Rina Dechter
Editor: Springer Science & Business Media
ISBN: 3540410538
File Size: 36,97 MB
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This volume constitutes the refereed proceedings of the 6th International Conference on Principles and Practice of Constraint Programming, CP 2000, held in Singapore in September 2000. The 31 revised full papers and 13 posters presented together with three invited contributions were carefully reviewed and selected from 101 submissions. All current issues of constraint processing, ranging from theoretical and foundational issues to applications in various fields are addressed.

Integration Of Ai And Or Techniques In Constraint Programming

Author: Domenico Salvagnin
Editor: Springer
ISBN: 3319597760
File Size: 58,34 MB
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This book constitutes the proceedings of the 14th International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2017, held in Padua, Italy, in June 2017. The 32 full papers presented together with 6 abstracts were carefully reviewed and selected from numerous submissions. The conference brings together interested researchers from constraint programming, artificial intelligence, and operations research to present new techniques or applications in the intersection of these fields and provides an opportunity for researchers in one area to learn about techniques in the others, and to show how the integration of techniques from different fields can lead to interesting results on large and complex problems.

Proceedings

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ISBN:
File Size: 43,48 MB
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Proceedings

Author: International Conference on Distributed Computing Systems
Editor:
ISBN: 9780769506012
File Size: 31,59 MB
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Execution Resource Allocation For Distributed Real Time Controllers

Author: Haksun Li
Editor:
ISBN:
File Size: 52,95 MB
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Parallel Computing

Author: Wouter Joosen
Editor:
ISBN:
File Size: 48,56 MB
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Gmd Report

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ISBN:
File Size: 23,38 MB
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Advances In Artificial Intelligence

Author: Canadian Society for Computational Studies of Intelligence. Conference
Editor:
ISBN:
File Size: 24,90 MB
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Proceedings

Author: American Association for Artificial Intelligence
Editor: Amer Assn for Artificial
ISBN:
File Size: 63,37 MB
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