An Introduction to Constraint-Based Temporal Reasoning
An Introduction to Constraint-Based Temporal Reasoning

Author: Roman Barták

Publisher: Morgan & Claypool Publishers

Published: 2014-02-01

Total Pages: 123

ISBN-13: 1608459683

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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.

An Introduction to Constraint-Based Temporal Reasoning
An Introduction to Constraint-Based Temporal Reasoning

Author: Roman Meir

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 107

ISBN-13: 3031015673

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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.

Temporal Reasoning
Temporal Reasoning

Author: Itay Meiri

Publisher:

Published: 1992

Total Pages: 119

ISBN-13:

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Unlike existing approaches, our proposal permits the processing of both qualitative and quantitative constraints. First, a model called temporal constraint networks is introduced, which facilitates the processing of quantitative information such as duration and timing of events. In this model, variables represent time points, and the constraints refer to absolute timing or time differences between events. Second, a framework called general temporal networks is developed, combining quantitative information about duration and timing with qualitative relations about precedence and occurrences of events.

Constraint-based Reasoning
Constraint-based Reasoning

Author: Eugene C. Freuder

Publisher: MIT Press

Published: 1994

Total Pages: 420

ISBN-13: 9780262560757

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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.

A Perspective of Constraint-based Reasoning
A Perspective of Constraint-based Reasoning

Author: Hans Werner Güsgen

Publisher: Springer Verlag

Published: 1992

Total Pages: 123

ISBN-13: 9780387555102

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"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.

11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021
11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021

Author: Rafik A. Aliev

Publisher: Springer Nature

Published: 2022-01-04

Total Pages: 803

ISBN-13: 3030921271

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This book presents the proceedings of the 11th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence, ICSCCW-2021, held in Antalya, Turkey, on August 23–24, 2021. The general scope of the book covers uncertain computation, decision making under imperfect information, neuro-fuzzy approaches, natural language processing, and other areas. The topics of the papers include theory and application of soft computing, computing with words, image processing with soft computing, intelligent control, machine learning, fuzzy logic in data mining, soft computing in business, economics, engineering, material sciences, biomedical engineering, and health care. This book is a useful guide for academics, practitioners, and graduates in fields of soft computing and computing with words. It allows for increasing of interest in development and applying of these paradigms in various real-life fields.

Principles and Practice of Constraint Programming - CP 2007
Principles and Practice of Constraint Programming - CP 2007

Author: Christian Bessiere

Publisher: Springer Science & Business Media

Published: 2007-10-11

Total Pages: 903

ISBN-13: 3540749705

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This book constitutes the refereed proceedings of the 13th International Conference on Principles and Practice of Constraint Programming, CP 2007. It contains 51 revised full papers and 14 revised short papers presented together with eight application papers and the abstracts of two invited lectures. All current issues of computing with constraints are addressed, ranging from methodological and foundational aspects to solving real-world problems in various application fields.

Constraint Processing
Constraint Processing

Author: Rina Dechter

Publisher: Morgan Kaufmann

Published: 2003-05-05

Total Pages: 504

ISBN-13: 1558608907

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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.

Natural Language Processing: Concepts, Methodologies, Tools, and Applications
Natural Language Processing: Concepts, Methodologies, Tools, and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2019-11-01

Total Pages: 1704

ISBN-13: 1799809528

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As technology continues to become more sophisticated, a computer’s ability to understand, interpret, and manipulate natural language is also accelerating. Persistent research in the field of natural language processing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror natural language processes that have existed for centuries. Natural Language Processing: Concepts, Methodologies, Tools, and Applications is a vital reference source on the latest concepts, processes, and techniques for communication between computers and humans. Highlighting a range of topics such as machine learning, computational linguistics, and semantic analysis, this multi-volume book is ideally designed for computer engineers, computer and software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of natural language processing.