Includes bibliographical references (p. 275-290).
|Series||World Scientific series in computer science ;, vol. 41, Series in computer science ;, vol. 41.|
|LC Classifications||QA76.63 .L48 1993|
|The Physical Object|
|Pagination||xviii, 326 p. :|
|Number of Pages||326|
|LC Control Number||94159074|
This collection presents the best of current work on all aspects of constraint logic programming languages, from theory through language implementation. Constraint logic programming, the notion of computing with partial information, is becoming recognized as a way of dramatically improving on the current generation of programming languages. Type: BOOK - Published: - Publisher: Springer Science & Business Media Get Books Constraint Logic Programming (CLP), an area of extreme research interest in recent years, extends the semantics of Prolog in such a way that the combinatorial explosion, a characteristic of most problems in the field of Artificial Intelligence, can be tackled efficiently. Distributed Constraint Optimization Problems (DCOPs) are descriptions of constraint optimization problems where variables and constraints are distributed among a group of agents, and where each agent can only interact with agents that share a common constraint (Modi et al. ; Petcu and Faltings ; Yeoh and Yokoo ). Researchers. —This paper presents key notions of Constraint Logic Programming (CLP), which is a young pro-gramming paradigm oriented toward solving difﬁcult discrete highly combinatorial problems by making active use of constraints on the basis of mechanisms of Logic Programming. Being the subject of intensive research.
Constraint programming is currently applied with success to many domains, such as scheduling, planning, vehicle routing, configuration, networks, and bioinformatics. The aim of this handbook is to capture the full breadth and depth of the constraint programming field and to be encyclopedic in its scope and coverage. Logic and Constraint Logic Programming for Distributed Constraint Optimization. 05/07/ ∙ by Tiep Le, et al. ∙ New Mexico State University ∙ 0 ∙ share. The field of Distributed Constraint Optimization Problems (DCOPs) has gained momentum, thanks to its suitability in capturing complex problems (e.g., multi-agent coordination and resource allocation problems) that are naturally. algorithms artificial intelligence constraint programming distributed constraint satisfaction problem logic best-first search cost function networks cumulative constraint large-scale markov constraints MaxSAT minimal network network flow problem operations research regular constraint SAT scheduling solvers traffic engineering. This book constitutes the refereed proceedings of the 7th International Conference on Principles and Practice of Constraint Programming, CP , held in Paphos, Cyprus, in November/December The 37 revised full papers, 9 innovative applications presentations, and 14 short papers presented were carefully reviewed and selected from a total.
Logic Programs with Equality – discusses an approach to integration of logic programming with functional programming based on the use of equations. Constraint Logic Programming – concerns the use of constraints in logic programming. Query-answering in Deductive Databases – concerns the use of constraints in logic programming. A rigorous semantical framework is briefly described. The book may also be copied and distributed in paper-form for non-profit use . This book constitutes the thoroughly refereed and extended post-workshop proceedings of the 13th Annual ERCIM International Workshop on Constraint Solving and Constraint Logic Programming, CSCLP , held in Rome, Italy, in June The 9 revised full papers presented were carefully reviewed and selected from 14 initial submissions. The job of the constraint programmer is to use mathematical constraints to model real world constraints and objects. In this book, Kim Marriott and Peter Stuckey provide the first comprehensive introduction to the discipline of constraint programming and, in particular, constraint logic programming. The book covers the necessary background material from artificial intelligence, logic. Book description. Constraint programming is a powerful paradigm for solving combinatorial search problems that draws on a wide range of techniques from artificial intelligence, computer science, databases, programming languages, and operations research. Constraint programming is currently applied with success to many domains, such as scheduling, planning, vehicle routing, configuration, .