Constraint Based Reasoning

Author : Eugene C. Freuder,Alan K. Mackworth
Publisher : MIT Press
Page : 420 pages
File Size : 50,5 Mb
Release : 1994
Category : Computers
ISBN : 0262560755

Get Book

Constraint-based Reasoning by Eugene C. Freuder,Alan K. Mackworth Pdf

Constraint-based reasoning is an important area of automated reasoning in artificial intelligence, with many applications. These include configuration and design problems, planning and scheduling, temporal and spatial reasoning, defeasible and causal reasoning, machine vision and language understanding, qualitative and diagnostic reasoning, and expert systems. Constraint-Based Reasoning presents current work in the field at several levels: theory, algorithms, languages, applications, and hardware. Constraint-based reasoning has connections to a wide variety of fields, including formal logic, graph theory, relational databases, combinatorial algorithms, operations research, neural networks, truth maintenance, and logic programming. The ideal of describing a problem domain in natural, declarative terms and then letting general deductive mechanisms synthesize individual solutions has to some extent been realized, and even embodied, in programming languages. Contents Introduction, E. C. Freuder, A. K. Mackworth * The Logic of Constraint Satisfaction, A. K. Mackworth * Partial Constraint Satisfaction, E. C. Freuder, R. J. Wallace * Constraint Reasoning Based on Interval Arithmetic: The Tolerance Propagation Approach, E. Hyvonen * Constraint Satisfaction Using Constraint Logic Programming, P. Van Hentenryck, H. Simonis, M. Dincbas * Minimizing Conflicts: A Heuristic Repair Method for Constraint Satisfaction and Scheduling Problems, S. Minton, M. D. Johnston, A. B. Philips, and P. Laird * Arc Consistency: Parallelism and Domain Dependence, P. R. Cooper, M. J. Swain * Structure Identification in Relational Data, R. Dechter, J. Pearl * Learning to Improve Constraint-Based Scheduling, M. Zweben, E. Davis, B. Daun, E. Drascher, M. Deale, M. Eskey * Reasoning about Qualitative Temporal Information, P. van Beek * A Geometric Constraint Engine, G. A. Kramer * A Theory of Conflict Resolution in Planning, Q. Yang A Bradford Book.

Author : Hans W. Guesgen,Joachim Hertzberg
Publisher : Lecture Notes in Artificial Intelligence
Page : 144 pages
File Size : 50,6 Mb
Release : 1992-06-10
Category : Computers
ISBN : UOM:39015028461641

Get Book

A Perspective of Constraint-Based Reasoning by Hans W. Guesgen,Joachim Hertzberg Pdf

Much of AI research is about problem-solving strategies, and several techniques have been crystalized. One such technique is constraint satisfaction or reasoning based on relations. Constraint-based reasoning is used to solve a wide field of problems, and recently constraint techniques have been incorporated into logic programming languages, yielding a whole new field of research and application: constraint logic programming. Constraint satisfaction techniques have become part of almost all introductory books on AI. This monograph is about constraint satisfaction. It differs from others in that it presents all approaches under a common, generalizing view: dynamic constraints. This new way of viewing constraints provides new insights about the different approaches, and forms a very practical basis for teaching constraint-based reasoning. A uniform view of the constraint world is also a good basis for constraint research. This text is not intended to be a self-contained textbook on constraint-based reasoning, but rather a coherent text on an interesting view of the field.

Author : Hans W. Guesgen,Joachim Hertzberg
Publisher : Unknown
Page : 136 pages
File Size : 51,9 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 3662199378

Get Book

A Perspective of Constraint-Based Reasoning by Hans W. Guesgen,Joachim Hertzberg Pdf

Author : Hans Werner Güsgen,Joachim Hertzberg
Publisher : Springer Verlag
Page : 123 pages
File Size : 44,8 Mb
Release : 1992
Category : Computers
ISBN : 0387555102

Get Book

A Perspective of Constraint-based Reasoning by Hans Werner Güsgen,Joachim Hertzberg Pdf

"Much of AI research is about problem-solving strategies, and several techniques have been crystalized. One such technique is constraint satisfaction or reasoning based on relations. Constraint-based reasoning is used to solve a wide field of problems, and recently constraint techniques have been incorporated into logic programming languages, yielding a whole new field of research and application: constraint logic programming. Constraint satisfaction techniques have become part of almost all introductory books on AI. This monograph is about constraint satisfaction. It differs from others in that it presents all approaches under a common, generalizing view: dynamic constraints. This new way of viewing constraints provides new insights about the different approaches, and forms a very practical basis for teaching constraint-based reasoning. A uniform view of the constraint world is also a good basis for constraint research. This text is not intended to be a self-contained textbook on constraint-based reasoning, but rather a coherent text on an interesting view of the field."--PUBLISHER'S WEBSITE.

Author : Roman Meir,Robert A. Vorobeychik
Publisher : Springer Nature
Page : 107 pages
File Size : 45,5 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031015670

Get Book

An Introduction to Constraint-Based Temporal Reasoning by Roman Meir,Robert A. Vorobeychik Pdf

Solving challenging computational problems involving time has been a critical component in the development of artificial intelligence systems almost since the inception of the field. This book provides a concise introduction to the core computational elements of temporal reasoning for use in AI systems for planning and scheduling, as well as systems that extract temporal information from data. It presents a survey of temporal frameworks based on constraints, both qualitative and quantitative, as well as of major temporal consistency techniques. The book also introduces the reader to more recent extensions to the core model that allow AI systems to explicitly represent temporal preferences and temporal uncertainty. This book is intended for students and researchers interested in constraint-based temporal reasoning. It provides a self-contained guide to the different representations of time, as well as examples of recent applications of time in AI systems.

Author : Nicoleta Neagu
Publisher : Springer Science & Business Media
Page : 158 pages
File Size : 52,8 Mb
Release : 2006-03-30
Category : Computers
ISBN : 9783764373191

Get Book

Constraint Satisfaction Techniques for Agent-Based Reasoning by Nicoleta Neagu Pdf

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.

Author : Alexander Nareyek
Publisher : Springer
Page : 186 pages
File Size : 41,9 Mb
Release : 2003-06-29
Category : Computers
ISBN : 9783540457466

Get Book

Constraint-Based Agents by Alexander Nareyek Pdf

Autonomous agents have become a vibrant research and development topic in recent years attracting activity and attention from various areas. The basic agent concept incorporates proactive autonomous units with goal-directed-behaviour and communication capabilities. The book focuses on autonomous agents that can act in a goal directed manner under real time constraints and incomplete knowledge, being situated in a dynamic environment where resources may be restricted. To satisfy such complex requirements, the author improves, combines, and applies results from areas like planning, constraint programming, and local search. The formal framework developed is evaluated by application to the field of computer games, which fit the problem context very well since most of them are played in real time and provide a highly interactive environment where environmental situations are changing rapidly.

Author : Mary Lou Maher,M. Bala Balachandran,Dong Mei Zhang
Publisher : Psychology Press
Page : 260 pages
File Size : 49,8 Mb
Release : 2014-02-25
Category : Psychology
ISBN : 9781317779759

Get Book

Case-Based Reasoning in Design by Mary Lou Maher,M. Bala Balachandran,Dong Mei Zhang Pdf

Case-based reasoning in design is becoming an important approach to computer-support for design as well as an important component in understanding the design process. Design has become a major focus for problem solving paradigms due to its complexity and open-ended nature. This book presents a clear description of how case-based reasoning can be applied to design problems, including the representation of design cases, indexing and retrieving design cases, and the range of paradigms for adapting design cases. With a focus on design, this book differs from others that provide a generalist view of case-based reasoning. This volume provides two important contributions to the area: * a general description of the issues and alternatives in applying case-based reasoning to design, and * a description of specific implementations of case-based design. Through this combination, the reader will learn about both the general issues and the practical problems in supporting design through case-based reasoning. This book was prepared to fill a gap in the literature on the unique problems that design introduces to computational paradigms developed in computer science. It also addresses the needs of computational support for design problem solving from both theoretical and practical perspectives.

Author : Roman Barták,Robert A. Morris,Kristen Brent Venable
Publisher : Morgan & Claypool
Page : 0 pages
File Size : 50,6 Mb
Release : 2014
Category : Constraints (Artificial intelligence)
ISBN : 1608459675

Get Book

An Introduction to Constraint-based Temporal Reasoning by Roman Barták,Robert A. Morris,Kristen Brent Venable Pdf

Solving challenging computational problems involving time has been a critical component in the development of artificial intelligence systems almost since the inception of the field. This book provides a concise introduction to the core computational elements of temporal reasoning for use in AI systems for planning and scheduling, as well as systems that extract temporal information from data. It presents a survey of temporal frameworks based on constraints, both qualitative and quantitative, as well as of major temporal consistency techniques. The book also introduces the reader to more recent extensions to the core model that allow AI systems to explicitly represent temporal preferences and temporal uncertainty. This book is intended for students and researchers interested in constraint-based temporal reasoning. It provides a self-contained guide to the different representations of time, as well as examples of recent applications of time in AI systems.

Author : Youssef Hamadi,Lakhdar Sais
Publisher : Springer
Page : 677 pages
File Size : 41,9 Mb
Release : 2018-04-05
Category : Computers
ISBN : 9783319635163

Get Book

Handbook of Parallel Constraint Reasoning by Youssef Hamadi,Lakhdar Sais Pdf

This is the first book presenting a broad overview of parallelism in constraint-based reasoning formalisms. In recent years, an increasing number of contributions have been made on scaling constraint reasoning thanks to parallel architectures. The goal in this book is to overview these achievements in a concise way, assuming the reader is familiar with the classical, sequential background. It presents work demonstrating the use of multiple resources from single machine multi-core and GPU-based computations to very large scale distributed execution platforms up to 80,000 processing units. The contributions in the book cover the most important and recent contributions in parallel propositional satisfiability (SAT), maximum satisfiability (MaxSAT), quantified Boolean formulas (QBF), satisfiability modulo theory (SMT), theorem proving (TP), answer set programming (ASP), mixed integer linear programming (MILP), constraint programming (CP), stochastic local search (SLS), optimal path finding with A*, model checking for linear-time temporal logic (MC/LTL), binary decision diagrams (BDD), and model-based diagnosis (MBD). The book is suitable for researchers, graduate students, advanced undergraduates, and practitioners who wish to learn about the state of the art in parallel constraint reasoning.

Author : Bai Li
Publisher : Unknown
Page : 128 pages
File Size : 42,8 Mb
Release : 1994
Category : Electronic
ISBN : OCLC:60256813

Get Book

Constraint-based Reasoning in Artificial Intelligence by Bai Li Pdf

Author : Rina Dechter,David Cohen,Rina (University of California Dechter, Irvine)
Publisher : Morgan Kaufmann
Page : 504 pages
File Size : 42,6 Mb
Release : 2003-05-05
Category : Computers
ISBN : 9781558608900

Get Book

Constraint Processing by Rina Dechter,David Cohen,Rina (University of California Dechter, Irvine) Pdf

Constraint reasoning has matured over the last three decades with contributions from a diverse community of researchers in artificial intelligence, databases and programming languages, operations research, management science, and applied mathematics. In Constraint Processing, Rina Dechter synthesizes these contributions, as well as her own significant work, to provide the first comprehensive examination of the theory that underlies constraint processing algorithms.

Author : Marco Gori
Publisher : Morgan Kaufmann
Page : 0 pages
File Size : 52,5 Mb
Release : 2017-11-13
Category : Computers
ISBN : 0081006594

Get Book

Machine Learning by Marco Gori Pdf

Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic knowledge bases as a collection of constraints, the book draws a path towards a deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, like in fuzzy systems. A special attention is reserved to deep learning, which nicely fits the constrained- based approach followed in this book. This book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, and includes many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included.

Author : Steven G. Woods,Alexander E. Quilici,Qiang Yang
Publisher : Springer Science & Business Media
Page : 206 pages
File Size : 47,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461554615

Get Book

Constraint-Based Design Recovery for Software Reengineering by Steven G. Woods,Alexander E. Quilici,Qiang Yang Pdf

The great challenge of reverse engineering is recovering design information from legacy code: the concept recovery problem. This monograph describes our research effort in attacking this problem. It discusses our theory of how a constraint-based approach to program plan recognition can efficiently extract design concepts from source code, and it details experiments in concept recovery that support our claims of scalability. Importantly, we present our models and experiments in sufficient detail so that they can be easily replicated. This book is intended for researchers or software developers concerned with reverse engineering or reengineering legacy systems. However, it may also interest those researchers who are interested using plan recognition techniques or constraint-based reasoning. We expect the reader to have a reasonable computer science background (i.e., familiarity with the basics of programming and algorithm analysis), but we do not require familiarity with the fields of reverse engineering or artificial intelligence (AI). To this end, we carefully explain all the AI techniques we use. This book is designed as a reference for advanced undergraduate or graduate seminar courses in software engineering, reverse engineering, or reengineering. It can also serve as a supplementary textbook for software engineering-related courses, such as those on program understanding or design recovery, for AI-related courses, such as those on plan recognition or constraint satisfaction, and for courses that cover both topics, such as those on AI applications to software engineering. ORGANIZATION The book comprises eight chapters.

Author : Mark Derthick
Publisher : Pitman Publishing
Page : 184 pages
File Size : 43,7 Mb
Release : 1990
Category : Computers
ISBN : UOM:39015018885544

Get Book

Mundane Reasoning by Parallel Constraint Satisfaction by Mark Derthick Pdf