Algorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems

Algorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems

DisChoco 2.0: A Platform for Distributed Constraint Reasoning 8. DisChoco 2.0 9. Conclusion About the Authors Mohamed Wahbi is currently an associate lecturer at Ecole des Mines de Nantes in France.

Author: Mohamed Wahbi

Publisher: John Wiley & Sons

ISBN: 9781118753422

Category: Computers

Page: 176

View: 597

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.
Categories: Computers

Constraint Satisfaction Problems

Constraint Satisfaction Problems

This is why they are the subject of intense research in both artificial intelligence and operations research.

Author: Khaled Ghedira

Publisher: John Wiley & Sons

ISBN: 9781118575017

Category: Mathematics

Page: 240

View: 478

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.
Categories: Mathematics

Distributed Constraint Problem Solving and Reasoning in Multi agent Systems

Distributed Constraint Problem Solving and Reasoning in Multi agent Systems

Multistage negotiation for distributed constraint satisfaction . IEEE Transactions on Systems , Man , and Cybernetics , 21 ( 6 ) , Nov. 1991 . [ 3 ] K. Hirayama and M. Yokoo . The effect of nogood learning in distributed constraint ...

Author: Weixiong Zhang

Publisher: IOS Press

ISBN: 1586034561

Category: Computers

Page: 240

View: 232

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.
Categories: Computers

Distributed Constraint Satisfaction

Distributed Constraint Satisfaction

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 ...

Author: Makoto Yokoo

Publisher: Springer Series on Agent Technology

ISBN: UCSC:32106015780056

Category: Business & Economics

Page: 143

View: 263

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.
Categories: Business & Economics

Constraint Satisfaction Techniques for Agent Based Reasoning

Constraint Satisfaction Techniques for Agent Based Reasoning

There are multiple problem classes in AI that have been addressed by search algorithms computed by collaborative multiple agents and one of them are the constraint satisfaction problems. Cooperative distributed solving is an AI domain ...

Author: Nicoleta Neagu

Publisher: Springer Science & Business Media

ISBN: 9783764373191

Category: Computers

Page: 158

View: 740

Constraint satisfaction problems are significant in the domain of automated reasoning for artificial intelligence. They can be applied to the modeling and solving of a wide range of combinatorial applications such as planning, scheduling and resource sharing in a variety of practical domains such as transportation, production, supply-chains, network management and human resource management. In this book we study new techniques for solving constraint satisfaction problems, with a special focus on solution adaptation applied to agent reasoning.
Categories: Computers

Argumentation in Multi Agent Systems

Argumentation in Multi Agent Systems

Distributed Constraint Satisfaction Problems provide a natural mechanism for multiagent coordination and agreement. To date, algorithms for Distributed Constraint Satisfaction Problems have tended to mirror existing non-distributed ...

Author: Nicolas Maudet

Publisher: Springer

ISBN: 9783540755265

Category: Computers

Page: 216

View: 939

Argumentation provides tools for designing, implementing and analyzing sophisticated forms of interaction among rational agents. It has made a solid contribution to the practice of multiagent dialogues. This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Argumentation in Multi-Agent Systems held in Hakodate, Japan, as an associated event of AAMAS 2006, the main international conference on autonomous agents and multi-agent systems.
Categories: Computers

Principles and Practice of Constraint Programming CP 95

Principles and Practice of Constraint Programming   CP  95

Collin , Z. , Dechter , R. , and Katz , S .: On the Feasibility of Distributed Constraint Satisfaction , Proceedings of the Twelfth International Joint Conference on Artificial Intelligence ( 1991 ) 318-324 3.

Author: Ugo Montanari

Publisher: Springer Science & Business Media

ISBN: 3540602992

Category: Computers

Page: 676

View: 372

This book constitutes the proceedings of the First International Conference on Principles and Practice of Constraint Programming, CP '95, held in Cassis near Marseille, France in September 1995. The 33 refereed full papers included were selected out of 108 submissions and constitute the main part of the book; in addition there is a 60-page documentation of the four invited papers and a section presenting industrial reports. Thus besides having a very strong research component, the volume will be attractive for practitioners. The papers are organized in sections on efficient constraint handling, constraint logic programming, concurrent constraint programming, computational logic, applications, and operations research.
Categories: Computers

Principles and Practice of Constraint Programming CP 2000

Principles and Practice of Constraint Programming   CP 2000

When solving a distributed graph 3-coloring problem with a small number of intra-agent constraints and a large number of ... we should make more experiments using other problems and other distributed constraint satisfaction algorithms.

Author: Rina Dechter

Publisher: Springer

ISBN: 9783540453499

Category: Computers

Page: 564

View: 219

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.
Categories: Computers

Integration of AI and OR Techniques in Constraint Programming

Integration of AI and OR Techniques in Constraint Programming

Armstrong, A.A., Durfee, E.H.: Dynamic prioritization of complex agents in distributed constraint satisfaction problems. In: Proceedings of AAAI 1997/IAAI 1997, pp. 822–822 (1997) 4. Beloglazov, A., Buyya, R.: Energy efficient resource ...

Author: Domenico Salvagnin

Publisher: Springer

ISBN: 9783319597768

Category: Computers

Page: 420

View: 418

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.
Categories: Computers

Principles and Practice of Constraint Programming CP 2001

Principles and Practice of Constraint Programming   CP 2001

4. Z. Collin, R. Dechter, and S. Katz. Self-stabilizing distributed constraint satisfaction. Chicago Journal of Theoretical Computer Science, 2000. 5. J. Denzinger. Tutorial on distributed knowledge based search. IJCAI-01, August 2001.

Author: Toby Walsh

Publisher: Springer

ISBN: 9783540455783

Category: Computers

Page: 794

View: 294

This book constitutes the refereed proceedings of the 7th International Conference on Principles and Practice of Constraint Programming, CP 2001, held in Paphos, Cyprus, in November/December 2001. The 37 revised full papers, 9 innovative applications presentations, and 14 short papers presented were carefully reviewed and selected from a total of 135 submissions. All current issues in constraint processing are addressed, ranging from theoretical and foundational issues to advanced and innovative applications in a variety of fields.
Categories: Computers