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Integrating Probabilistic Reasoning With Constraint Satisfaction
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Book Synopsis Integrating Probabilistic Reasoning with Constraint Satisfaction by : Eric I-Hung Hsu
Download or read book Integrating Probabilistic Reasoning with Constraint Satisfaction written by Eric I-Hung Hsu and published by . This book was released on 2011 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: We hypothesize and confirm that probabilistic reasoning is closely related to constraint satisfaction at a formal level, and that this relationship yields effective algorithms for guiding constraint satisfaction and constraint optimization solvers.Further, for MaxSAT we present an equivalent transformation" process that normalizes the weights in constraint optimization problems, in order to encourage prunings of the search tree during branch-and-bound search. To control such computationally expensive processes, we determine promising situations for using them throughout the course of an individual search process. We accomplish this using a reinforcement learning-based control module that seeks a principled balance between the exploration of new strategies and the exploitation of existing experiences.By taking a unified view of probabilistic inference and constraint reasoning in terms of graphical models, we first associate a number of formalisms and techniques between the two areas. For instance, we characterize search and inference in constraint reasoning as summation and multiplication (or disjunction and conjunction) in the probabilistic space; necessary but insufficient consistency conditions for solutions to constraint problems (like arc-consistency) mirror approximate objective functions over probability distributions (like the Bethe free energy); and the polytope of feasible points for marginal probabilities represents the linear relaxation of a particular constraint satisfaction problem.While such insights synthesize an assortment of existing formalisms from varied research communities, they also yield an entirely novel set of "bias estimation" techniques that contribute to a growing body of research on applying probabilistic methods to constraint problems. In practical terms, these techniques estimate the percentage of solutions to a constraint satisfaction or optimization problem wherein a given variable is assigned a given value. By devising search methods that incorporate such information as heuristic guidance for variable and value ordering, we are able to outperform existing solvers on problems of interest from constraint satisfaction and constraint optimization-as represented here by the SAT and MaxSAT problems.
Book Synopsis Integrating Probabilistic Reasoning Into the Echidna Constraint Logic Programming System by : Simon Fraser University. Centre for Systems Science
Download or read book Integrating Probabilistic Reasoning Into the Echidna Constraint Logic Programming System written by Simon Fraser University. Centre for Systems Science and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Constraint Satisfaction Techniques for Agent-Based Reasoning by : Nicoleta Neagu
Download or read book Constraint Satisfaction Techniques for Agent-Based Reasoning written by Nicoleta Neagu and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Integration of AI and OR Techniques in Constraint Programming by : Claude-Guy Quimper
Download or read book Integration of AI and OR Techniques in Constraint Programming written by Claude-Guy Quimper and published by Springer. This book was released on 2016-05-12 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 13th International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2016, held in Banff, Canada, in May/June 2016. The 21 full papers presented together with 8 short papers were carefully reviewed and selected from 51 submissions. The conference brings together interested researchers from constraint programming, artificial intelligence, and operations research to present new techniques or applications in combinatorial optimization 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.
Book Synopsis Principles and Practice of Constraint Programming - CP 2003 by : Francesca Rossi
Download or read book Principles and Practice of Constraint Programming - CP 2003 written by Francesca Rossi and published by Springer Science & Business Media. This book was released on 2003-09-24 with total page 1024 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Principles and Practice of Constraint Programming, CP 2003, held in Kinsale, Ireland in September/October 2003. The 48 revised full papers and 34 revised short papers presented together with 4 invited papers and 40 abstracts of contributions to the CP 2003 doctoral program were carefully reviewed and selected from 181 submissions. A wealth of recent results in computing with constraints is addressed ranging from foundational and methodological issues to solving real-world problems in a variety of application fields.
Book Synopsis Integration of AI and OR Techniques in Constraint Programming by : Domenico Salvagnin
Download or read book Integration of AI and OR Techniques in Constraint Programming written by Domenico Salvagnin and published by Springer. This book was released on 2017-05-30 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Using Constraint Satisfaction Techniques and Variational Methods for Probabilistic Reasoning by : Mohamed Ibrahim
Download or read book Using Constraint Satisfaction Techniques and Variational Methods for Probabilistic Reasoning written by Mohamed Ibrahim and published by . This book was released on 2015 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems by : Laurent Perron
Download or read book Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems written by Laurent Perron and published by Springer. This book was released on 2008-05-20 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 5th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR 2008) was held in Paris, France May 20–23, 2008. The purpose of this conference series is to bring together researchers in the ?elds of constraint programming, arti?cial intelligence, and operations research to explore ways of solving large-scale, practical optimization problems through integration and hybridization of the ?elds’ di?erent techniques. Through the years, this research community is discovering that the ?elds have much in c- mon, and there has been tremendous richness in the resulting cross-fertilization of ?elds. This year, we allowed submissions of both long (15 page) and short (5 page) papers, with short papers either being original work, a reduced version of a long paper, or an extended abstract of work published elsewhere. We were not s- prised by the 69 submissions in the long paper category: this is an active ?eld with many researchers. We were surprised by the 61 short paper submissions. This was far more than predicted. With 130 high-quality submissions, compe- tion for acceptance in this year’s program was particularly ?erce. In the end, we accepted 18 long papers and 22 short papers for presentation and publication in this volume.
Book Synopsis Integration of Constraint Programming, Artificial Intelligence, and Operations Research by : Bistra Dilkina
Download or read book Integration of Constraint Programming, Artificial Intelligence, and Operations Research written by Bistra Dilkina and published by Springer Nature. This book was released on with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Probabilistic Reasoning and Decision Making in Sensory-Motor Systems by : Pierre Bessière
Download or read book Probabilistic Reasoning and Decision Making in Sensory-Motor Systems written by Pierre Bessière and published by Springer. This book was released on 2008-08-27 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems by Pierre Bessiere, Christian Laugier and Roland Siegwart provides a unique collection of a sizable segment of the cognitive systems research community in Europe. It reports on contributions from leading academic institutions brought together within the European projects Bayesian Inspired Brain and Artifact (BIBA) and Bayesian Approach to Cognitive Systems (BACS). This fourteen-chapter volume covers important research along two main lines: new probabilistic models and algorithms for perception and action, new probabilistic methodology and techniques for artefact conception and development. The work addresses key issues concerned with Bayesian programming, navigation, filtering, modelling and mapping, with applications in a number of different contexts.
Book Synopsis Mundane Reasoning by Parallel Constraint Satisfaction by : Mark Derthick
Download or read book Mundane Reasoning by Parallel Constraint Satisfaction written by Mark Derthick and published by Pitman Publishing. This book was released on 1990 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Integration of Constraint Programming, Artificial Intelligence, and Operations Research by : Emmanuel Hebrard
Download or read book Integration of Constraint Programming, Artificial Intelligence, and Operations Research written by Emmanuel Hebrard and published by Springer Nature. This book was released on 2020-09-18 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume LNCS 12296 constitutes the papers of the 17th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research which will be held online in September 2020. The 32 regular papers presented together with 4 abstracts of fast-track papers were carefully reviewed and selected from a total of 72 submissions. Additionally, this volume includes the 4 abstracts and 2 invited papers by plenary speakers. The conference program also included a Master Class on the topic “Recent Advances in Optimization Paradigms and Solving Technology"
Book Synopsis Statistical Relational Artificial Intelligence by : Luc De Raedt
Download or read book Statistical Relational Artificial Intelligence written by Luc De Raedt and published by Morgan & Claypool Publishers. This book was released on 2016-03-24 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models. It introduces representations, inference, and learning techniques for probability, logic, and their combinations. The book focuses on two representations in detail: Markov logic networks, a relational extension of undirected graphical models and weighted first-order predicate calculus formula, and Problog, a probabilistic extension of logic programs that can also be viewed as a Turing-complete relational extension of Bayesian networks.
Book Synopsis Integration of Constraint Programming, Artificial Intelligence, and Operations Research by : Pierre Schaus
Download or read book Integration of Constraint Programming, Artificial Intelligence, and Operations Research written by Pierre Schaus and published by Springer Nature. This book was released on 2022-06-09 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 19th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2022, which was held in Los Angeles, CA, USA, in June 2022.The 28 regular papers presented were carefully reviewed and selected from a total of 60 submissions. The conference program included a Master Class on the topic "Bridging the Gap between Machine Learning and Optimization”.
Book Synopsis Probabilistic Inductive Logic Programming by : Luc De Raedt
Download or read book Probabilistic Inductive Logic Programming written by Luc De Raedt and published by Springer. This book was released on 2008-02-26 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to probabilistic inductive logic programming. It places emphasis on the methods based on logic programming principles and covers formalisms and systems, implementations and applications, as well as theory.
Book Synopsis Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems by : J. Christopher Beck
Download or read book Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems written by J. Christopher Beck and published by Springer. This book was released on 2006-05-20 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2006. The 20 revised full papers presented together with 3 invited talks address methodological and foundational issues from AI, OR, and algorithmics and present applications to the solution of combinatorial optimization problems in various fields via constraint programming.
Book Synopsis Advances in Computer Science - ASIAN 2004, Higher Level Decision Making by : Michael J. Maher
Download or read book Advances in Computer Science - ASIAN 2004, Higher Level Decision Making written by Michael J. Maher and published by Springer. This book was released on 2004-12-02 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt:
