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Practical Consistency Algorithms for Constraint Satisfaction Problems

Practical Consistency Algorithms for Constraint Satisfaction Problems PDF Author: National University of Singapore. Dept. of Information Systems and Computer Science
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 12

Book Description
Indeed current constraint programming languages such as Chip, Charme, Pecos and ConstraintLisp depend primarily on these specific techniques for consistency check. Only when there is no efficient specific method for a constraint will the general algorithms be used. This article discusses the design issues of the specific consistency techniques and presents some of these techniques."

Practical Consistency Algorithms for Constraint Satisfaction Problems

Practical Consistency Algorithms for Constraint Satisfaction Problems PDF Author: National University of Singapore. Dept. of Information Systems and Computer Science
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 12

Book Description
Indeed current constraint programming languages such as Chip, Charme, Pecos and ConstraintLisp depend primarily on these specific techniques for consistency check. Only when there is no efficient specific method for a constraint will the general algorithms be used. This article discusses the design issues of the specific consistency techniques and presents some of these techniques."

Foundations of Constraint Satisfaction

Foundations of Constraint Satisfaction PDF Author: Edward Tsang
Publisher: BoD – Books on Demand
ISBN: 3735723667
Category : Computers
Languages : en
Pages : 446

Book Description
This seminal text of Computer Science, the most cited book on the subject, is now available for the first time in paperback. Constraint satisfaction is a decision problem that involves finite choices. It is ubiquitous. The goal is to find values for a set of variables that will satisfy a given set of constraints. It is the core of many applications in artificial intelligence, and has found its application in many areas, such as planning and scheduling. Because of its generality, most AI researchers should be able to benefit from having good knowledge of techniques in this field. Originally published in 1993, this now classic book was the first attempt to define the scope of constraint satisfaction. It covers both the theoretical and the implementation aspects of the subject. It provides a framework for studying this field, relates different research, and resolves ambiguity in a number of concepts and algorithms in the literature. This seminal text is arguably the most rigorous book in the field. All major concepts were defined in First Order Predicate Calculus. Concepts defined this way are precise and unambiguous.

Artificial Intelligence

Artificial Intelligence PDF Author: Stuart Russell
Publisher: Createspace Independent Publishing Platform
ISBN: 9781537600314
Category :
Languages : en
Pages : 626

Book Description
Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.

Constraint Satisfaction Problems

Constraint Satisfaction Problems PDF Author: Khaled Ghedira
Publisher: John Wiley & Sons
ISBN: 1118575016
Category : Mathematics
Languages : en
Pages : 245

Book Description
A Constraint Satisfaction Problem (CSP) consists of a set of variables, a domain of values for each variable and a set of constraints. The objective is to assign a value for each variable such that all constraints are satisfied. CSPs continue to receive increased attention because of both their high complexity and their omnipresence in academic, industrial and even real-life problems. This is why they are the subject of intense research in both artificial intelligence and operations research. This book introduces the classic CSP and details several extensions/improvements of both formalisms and techniques in order to tackle a large variety of problems. Consistency, flexible, dynamic, distributed and learning aspects are discussed and illustrated 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 Tunis Science City in Tunisia, Professor at the University of Tunis, as well as the founding president of the Tunisian Association of Artificial Intelligence and the founding director of the SOIE research laboratory. His research areas include MAS, CSP, transport and production logistics, metaheuristics and security in M/E-government. He has led several national and international research projects, supervised 30 PhD theses and more than 50 Master’s theses, co-authored about 300 journal, conference and book research papers, written two text books on metaheuristics and production logistics and co-authored three others.

Principles and Practice of Constraint Programming - CP98

Principles and Practice of Constraint Programming - CP98 PDF Author: Michael Maher
Publisher: Springer
ISBN: 3540494812
Category : Computers
Languages : en
Pages : 495

Book Description
Constraints have emerged as the basis of a representational and computational paradigm that draws from many disciplines and can be brought to bear on many problem domains. This volume contains papers dealing with all aspects of c- puting with constraints. In particular, there are several papers on applications of constraints, re?ecting the practical usefulness of constraint programming. The papers were presented at the 1998 International Conference on Principles and Practice of Constraint Programming (CP’98), held in Pisa, Italy, 26{30 - tober, 1998. It is the fourth in this series of conferences, following conferences in Cassis (France), Cambridge (USA), and Schloss Hagenberg (Austria). We received 115 high quality submissions. In addition, 7 abstracts submissions were not followed by a full paper, hence were not counted as submissions. The program committee selected 29 high quality papers after thorough refereeing by at least 3 experts and further discussion by committee members. We thank the referees and the program committee for the time and e ort spent in reviewing the papers. The program committee invited three speakers: { Joxan Ja ar { Peter Jeavons { Patrick Prosser Their papers are in this volume.

Principles and Practice of Constraint Programming

Principles and Practice of Constraint Programming PDF Author: J. Christopher Beck
Publisher: Springer
ISBN: 3319661582
Category : Mathematics
Languages : en
Pages : 750

Book Description
This book constitutes the refereed conference proceedings of the 23nd International Conference on Principles and Practice of Constraint Programming, CP 2017, held in Melbourne, Australia from August 28, 2017 until September 1, 2017. The conference is colocated with the 20th International Conference on Theory and Applications of Satisfiability Testing (SAT 2017) and the 33rd International Conference on Logic Programming. The 46 revised full papers presented were carefully reviewed and selected from 115 submissions. The scope of the contributions includes all aspects of computing with constraints, including theory, algorithms, environments, languages, models, systems, and applications such as decision making, resource al location, scheduling, configuration, and planning. The papers are grouped into the following tracks: technical track; application track; machine learning & CP track; operations research & CP track; satisfiability & CP track, test and verification & CP track; journal & sister conference track.

Efficient Algorithms for Strong Local Consistencies and Adaptive Techniques in Constraint Satisfaction Problems

Efficient Algorithms for Strong Local Consistencies and Adaptive Techniques in Constraint Satisfaction Problems PDF Author: Anastasia Paparrizou
Publisher: Lulu.com
ISBN: 1329010094
Category : Computers
Languages : en
Pages : 166

Book Description
Constraint programming is a successful technology for solving a wide range of problems in business and industry which require satisfying a set of constraints. Central to solving constraint satisfaction problems is enforcing a level of local consistency. In this thesis, we propose efficient filtering algorithms for enforcing strong local consistencies. In addition, since such filtering algorithms can be too expensive to enforce all the time, we propose some automated heuristics that can dynamically select the most appropriate filtering algorithm. Published by AI Access, a not-for-profit publisher of open access texts with a highly respected scientific board. We publish monographs and collected works. Our texts are available electronically for free and in hard copy at close to cost.

Principles and Practice of Constraint Programming

Principles and Practice of Constraint Programming PDF Author: Peter J. Stuckey
Publisher: Springer Science & Business Media
ISBN: 3540859578
Category : Computers
Languages : en
Pages : 662

Book Description
This volume contains the proceedings of the 14th International Conference on Principles and Practice of Constraint Programming (CP 2008) held in Sydney, Australia, September 14–18, 2008. The conference was held in conjunction with the International Conference on Automated Planning and Scheduling (ICAPS 2008) and the International Conference on Knowledge Representation and R- soning (KR 2008). Information about the conference can be found at the w- sitehttp://www. unimelb. edu. au/cp2008/. Held annually, the CP conference series is the premier international conference on constraint programming. The conference focuses on all aspects of computing with constraints. The CP conf- ence series is organized by the Association for Constraint Programming (ACP). Information about the conferences in the series can be found on the Web at http://www. cs. ualberta. ca/~ai/cp/. Information about ACP can be found athttp://www. a4cp. org/. CP 2008 included two calls for contributions: a call for research papers, - scribing novel contributions in the ?eld, and a call for application papers, - scribing applications of constraint technology. For the ?rst time authors could directly submit short papers for consideration by the committee. The research track received 84 long submissions and 21 short submissions and the application track received 15 long submissions. Each paper received at least three reviews, which the authors had the opportunity to see and to react to, before the papers and their reviews were discussed extensively by the members of the Program Committee.

Constraint Satisfaction Techniques for Agent-Based Reasoning

Constraint Satisfaction Techniques for Agent-Based Reasoning PDF Author: Nicoleta Neagu
Publisher: Springer Science & Business Media
ISBN: 3764373199
Category : Computers
Languages : en
Pages : 165

Book Description
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.

Principles and Practice of Constraint Programming - CP 2001

Principles and Practice of Constraint Programming - CP 2001 PDF Author: Toby Walsh
Publisher: Springer
ISBN: 3540455787
Category : Computers
Languages : en
Pages : 794

Book Description
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.