Efficient and Expressive Extensions of Constraint-Based Temporal Reasoning
Author: Michael David Moffitt
Publisher:
Published: 2007
Total Pages: 520
ISBN-13:
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An Introduction to Constraint-Based Temporal Reasoning
Author: Roman Barták
Publisher: Morgan & Claypool Publishers
Published: 2014-02-01
Total Pages: 123
ISBN-13: 1608459683
DOWNLOAD EBOOKSolving 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
Author: Roman Meir
Publisher: Springer Nature
Published: 2022-05-31
Total Pages: 107
ISBN-13: 3031015673
DOWNLOAD EBOOKSolving 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.
Handbook of Temporal Reasoning in Artificial Intelligence
Author: Michael David Fisher
Publisher: Elsevier
Published: 2005-03-01
Total Pages: 753
ISBN-13: 0080533361
DOWNLOAD EBOOKThis collection represents the primary reference work for researchers and students in the area of Temporal Reasoning in Artificial Intelligence. Temporal reasoning has a vital role to play in many areas, particularly Artificial Intelligence. Yet, until now, there has been no single volume collecting together the breadth of work in this area. This collection brings together the leading researchers in a range of relevant areas and provides an coherent description of the breadth of activity concerning temporal reasoning in the filed of Artificial Intelligence. Key Features: - Broad range: foundations; techniques and applications - Leading researchers around the world have written the chapters - Covers many vital applications - Source book for Artificial Intelligence, temporal reasoning - Approaches provide foundation for many future software systems · Broad range: foundations; techniques and applications · Leading researchers around the world have written the chapters · Covers many vital applications · Source book for Artificial Intelligence, temporal reasoning · Approaches provide foundation for many future software systems
Handbook of Constraint Programming
Author: Francesca Rossi
Publisher: Elsevier
Published: 2006-08-18
Total Pages: 977
ISBN-13: 0080463800
DOWNLOAD EBOOKConstraint 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, 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. While there are several excellent books on constraint programming, such books necessarily focus on the main notions and techniques and cannot cover also extensions, applications, and languages. The handbook gives a reasonably complete coverage of all these lines of work, based on constraint programming, so that a reader can have a rather precise idea of the whole field and its potential. Of course each line of work is dealt with in a survey-like style, where some details may be neglected in favor of coverage. However, the extensive bibliography of each chapter will help the interested readers to find suitable sources for the missing details. Each chapter of the handbook is intended to be a self-contained survey of a topic, and is written by one or more authors who are leading researchers in the area.The intended audience of the handbook is researchers, graduate students, higher-year undergraduates and practitioners who wish to learn about the state-of-the-art in constraint programming. No prior knowledge about the field is necessary to be able to read the chapters and gather useful knowledge. Researchers from other fields should find in this handbook an effective way to learn about constraint programming and to possibly use some of the constraint programming concepts and techniques in their work, thus providing a means for a fruitful cross-fertilization among different research areas.The handbook is organized in two parts. The first part covers the basic foundations of constraint programming, including the history, the notion of constraint propagation, basic search methods, global constraints, tractability and computational complexity, and important issues in modeling a problem as a constraint problem. The second part covers constraint languages and solver, several useful extensions to the basic framework (such as interval constraints, structured domains, and distributed CSPs), and successful application areas for constraint programming. - Covers the whole field of constraint programming- Survey-style chapters- Five chapters on applications
Temporal Reasoning
Author: Itay Meiri
Publisher:
Published: 1992
Total Pages: 119
ISBN-13:
DOWNLOAD EBOOKUnlike 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.
Temporal Reasoning and Problem Solving
Author:
Publisher:
Published: 1992
Total Pages: 13
ISBN-13:
DOWNLOAD EBOOKTemporal Reasoning involves the study of a general theory of time and an associated reasoning. Representation of time plays an important role in acquiring and manipulating temporal knowledge. Within the artificial intelligence community, there are two popular approaches to representing time: intervals and points. However, very little work has been done to combine the best aspects of these systems under a single framework. The main accomplishments of this project am: (a) developed a temporal framework that combines the advantages of both the point-based and the interval-based systems which allow metric bounds on an event's duration, (b) designed algorithms for satisfying temporal constraints, (c) developed an efficient algorithm for propagating temporal constraints, and explored the feasibility of applying parallelism, and (d) designed and implemented a primitive point-based temporal reasoning system.
Rule Interchange and Applications
Author: Adrian Paschke
Publisher: Springer Science & Business Media
Published: 2009-10-15
Total Pages: 367
ISBN-13: 3642049842
DOWNLOAD EBOOKThe 2009 International Symposium on Rule Interchange and Applications (RuleML 2009), collocated in Las Vegas, Nevada, with the 12th International Business Rules Forum, was the premier place to meet and to exchange ideas from all ?elds of rules technologies. The aims of RuleML 2009 were both to present new and interesting research results and to show successfully deployed rule-basedapplications.This annualsymposium is the ?agshipevent of the Rule Markup and Modeling Initiative (RuleML). The RuleML Initiative (www.ruleml.org) is a non-pro?t umbrella organi- tion of several technical groups organized by representatives from academia, industry and public sectors working on rule technologies and applications. Its aim is to promote the study, research and application of rules in heterogeneous distributed environments such as the Web. RuleML maintains e?ective links with other major international societies and acts as intermediary between v- ious ‘specialized’ rule vendors, applications, industrial and academic research groups, as well as standardization e?orts from, for example, W3C, OMG, and OASIS. To emphasize the importance of rule standards RuleML 2009 featured, besides a number of tutorials on various rule aspects, a tutorial and a workshop dedicated to the newly released W3C Rule Interchange Format (RIF).
Tractable Temporal Reasoning: Temporal Spatial Constraint Propagation Management
Author: Louis J. Hoebel
Publisher:
Published: 1994
Total Pages: 45
ISBN-13:
DOWNLOAD EBOOKThe focus of this work has been to develop a practical temporal reasoner suitable for use in large scale and dynamic problems. The system developed is expressive and capable of supporting anytime temporal reasoning in application areas such as time dependent planning, execution, monitoring and natural language dialog. Initial results are obtained by comparing a compilation of constraints using the hierarchy based space and time (S & T) system to a compilation of constraints using the same core temporal reasoner used in the S & T but with no computational control on the inference procedure. The current S & T system constructs a reference hierarchy and assigns non-reference temporal intervals to reference intervals. Propagation of constraints is limited and controlled by user defined flexible strategies. Small scale initial results are encouraging in regards to the computational costs of the control overhead, caching and propagation. Temporal Reasoning.
ARPA/Rome Laboratory Knowledge-based Planning and Scheduling Initiative Workshop Proceedings, Tuscon, Arizona, February 21-24, 1994
Author:
Publisher: Morgan Kaufmann
Published: 1994
Total Pages: 558
ISBN-13: 9781558603455
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