Books in Artificial intelligence expert systems and knowledge based systems

51-60 of 149 results in All results

Plan, Activity, and Intent Recognition

• 1st Edition
• February 24, 2014
• Gita Sukthankar + 4 more
• English
• Paperback 978-0-12-398532-3

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• eBook 978-0-12-401710-8

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Plan recognition, activity recognition, and intent recognition together combine and unify techniques from user modeling, machine vision, intelligent user interfaces, human/computer interaction, autonomous and multi-agent systems, natural language understanding, and machine learning. Plan, Activity, and Intent Recognition explains the crucial role of these techniques in a wide variety of applications including: personal agent assistants computer and network security opponent modeling in games and simulation systems coordination in robots and software agents web e-commerce and collaborative filtering dialog modeling video surveillance smart homes In this book, follow the history of this research area and witness exciting new developments in the field made possible by improved sensors, increased computational power, and new application areas.

Advances in Intelligent Vehicles

• 1st Edition
• December 2, 2013
• Yaobin Chen + 1 more
• English
• Hardback 978-0-12-397199-9

  9 7 8 - 0 - 1 2 - 3 9 7 1 9 9 - 9

Advances in Intelligent Vehicles presents recent advances in intelligent vehicle technologies that enhance the safety, reliability, and performance of vehicles and vehicular networks and systems. This book provides readers with up-to-date research results and cutting-edge technologies in the area of intelligent vehicles and transportation systems. Topics covered include virtual and staged testing scenarios, collision avoidance, human factors, and modeling techniques. The Series in Intelligent Systems publishes titles that cover state-of-the-art knowledge and the latest advances in research and development in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications.

Intelligence as Adaptive Behavior

• 1st Edition
• October 22, 2013
• B. Chandrasekaran
• English
• eBook 978-1-4832-8812-3

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The "intelligence" of traditional artificial intelligence systems is notoriously narrow and inflexible--incapable of adapting to the constantly changing circumstances of the real world. Although traditional artificial intelligence systems can be successful in narrowly prescribed domains, they are inappropriate for dynamic, complex domains, such as autonomous robot navigation.**This book proposes an alternative methodology for designing intelligent systems based on a model of intelligence as adaptive behavior. The author describes an experiment in computational neuroethology--the computer modeling of neuronal control of behavior--in which the nervous system for an artificial insect is modeled. The experiment demonstrates that simple, complete intelligent agents are able to cope with complex, dynamic environments--suggesting that adaptive models of intelligence, based on biological bases of adaptive behavior, may prove to be very useful in the design of intelligent, autonomous systems.

Artificial Intelligence in Chemistry

• 1st Edition
• Volume 73
• October 22, 2013
• Z. Hippe
• English
• eBook 978-1-4832-9167-3

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This comprehensive overview of the application of artificial intelligence methods (AI) in chemistry contains an in-depth summary of the most interesting achievements of modern AI, namely, problem-solving in molecular structure elucidation and in syntheses design.The book provides a brief history of AI as a branch of computer science. It also gives an overview of the basic methods employed for searching the solution space (thoroughly exemplified by chemical problems), together with a profound and expert discussion on many questions that may be raised by modern chemists wishing to apply computer-assisted methods in their own research. Moreover, it includes a survey of the most important literature references, covering all essential research in automated interpretation of molecular spectra to elucidate a structure and in syntheses design. A glossary of basic terms from computer technology for chemists is appended. This book is intended to make the emerging field of artificial intelligence understandable and accessible for chemists, who are not trained in computer methods for solving chemical problems. The author discusses step-by-step basic algorithms for structure elucidation and many aspects of the automated design of organic syntheses in order to integrate this fascinating technology into current chemical knowledge.

Strategic Intelligence Management

• 1st Edition
• January 17, 2013
• Babak Akhgar + 1 more
• English
• Hardback 978-0-12-407191-9

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• eBook 978-0-12-407219-0

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Strategic Intelligence Management introduces both academic researchers and law enforcement professionals to contemporary issues of national security and information management and analysis. This contributed volume draws on state-of-the-art expertise from academics and law enforcement practitioners across the globe. The chapter authors provide background, analysis, and insight on specific topics and case studies. Strategic Intelligent Management explores the technological and social aspects of managing information for contemporary national security imperatives. Academic researchers and graduate students in computer science, information studies, social science, law, terrorism studies, and politics, as well as professionals in the police, law enforcement, security agencies, and government policy organizations will welcome this authoritative and wide-ranging discussion of emerging threats.

Case-Based Planning

• 1st Edition
• December 2, 2012
• Kristian J. Hammond
• English
• eBook 978-0-323-13846-8

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Perspectives in Artificial Intelligence, Volume 1: Case-Based Planning: Viewing Planning as a Memory Task focuses on the processes, methodologies, and techniques employed in viewing planning as a memory task. The publication first elaborates on planning and memory and learning from planning. Discussions focus on learning from cases, learning plans, learning to predict failures, case-based planning, structure of case-based planning, and learning from planning. The text then elaborates on planning from memory and planning Thematic Organization Packets (TOPs) and strategies, including TOPs in understanding and planning, TOPs and strategies, and function of memory. The manuscript takes a look at modifying and repairing plans, case-based planning, and planning and planners. Topics include CHEF as a program, case-based planning as planning and learning, noticing and explaining the failure, storing the plan, different situations for altering plans, and introduction of failure. The publication is a vital reference for researchers interested in viewing planning as a memory task.

New Trends in System Reliability Evaluation

• 1st Edition
• December 2, 2012
• K.B. Misra
• English
• eBook 978-0-444-59818-9

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The subject of system reliability evaluation has never been so extensively and incisively discussed as in the present volume. The book fills a gap in the existing literature on the subject by highlighting the shortcomings of the current state-of-the-art and focusing on on-going efforts aimed at seeking better models, improved solutions and alternative approaches to the problem of system reliability evaluation. The book's foremost objective is to provide an insight into developments that are likely to revolutionize the art and science in the near future. At the same time it will help serve as a benchmark for the reader not only to understand and appreciate the newer developments but to profitably guide him in reorienting his efforts. This book will be valuable for people working in various industries, research organizations, particularly in electrical and electronics, defence, nuclear, chemical, space and communciation systems. It will also be useful for serious-minded students, teachers, and for the laboratories of educational institutions.

COLT Proceedings 1990

• 1st Edition
• December 2, 2012
• COLT
• English
• eBook 978-0-323-13770-6

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COLT '90 covers the proceedings of the Third Annual Workshop on Computational Learning Theory, sponsored by the ACM SIGACT/SIGART, University of Rochester, Rochester, New York on August 6-8, 1990. The book focuses on the processes, methodologies, principles, and approaches involved in computational learning theory. The selection first elaborates on inductive inference of minimal programs, learning switch configurations, computational complexity of approximating distributions by probabilistic automata, and a learning criterion for stochastic rules. The text then takes a look at inductive identification of pattern languages with restricted substitutions, learning ring-sum-expansions, sample complexity of PAC-learning using random and chosen examples, and some problems of learning with an Oracle. The book examines a mechanical method of successful scientific inquiry, boosting a weak learning algorithm by majority, and learning by distances. Discussions focus on the relation to PAC learnability, majority-vote game, boosting a weak learner by majority vote, and a paradigm of scientific inquiry. The selection is a dependable source of data for researchers interested in the computational learning theory.

Essentials of Artificial Intelligence

• 1st Edition
• November 13, 2012
• Matt Ginsberg
• English
• eBook 978-0-323-13968-7

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Since its publication, Essentials of Artificial Intelligence has beenadopted at numerous universities and colleges offering introductory AIcourses at the graduate and undergraduate levels. Based on the author'scourse at Stanford University, the book is an integrated, cohesiveintroduction to the field. The author has a fresh, entertaining writingstyle that combines clear presentations with humor and AI anecdotes. At thesame time, as an active AI researcher, he presents the materialauthoritatively and with insight that reflects a contemporary, first handunderstanding of the field. Pedagogically designed, this book offers arange of exercises and examples.

Artificial Intelligence in Engineering Design

• 1st Edition
• November 12, 2012
• Bozzano G Luisa
• English
• eBook 978-0-323-13995-3

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Artificial Intelligence in Engineering Design is a three-volume edited collection of key papers from the field of AI and design, aimed at providing a state-of-the art description of the field, and focusing on how ideas and methods from artificial intelligence can help engineers in the design of physical artifacts and processes. The books survey a wide variety of applications in the areas of civil, chemical, electrical, computer, VLSI, and mechanical engineering.