Heuristic Programming in Artificial Intelligence
Author: David N. L. Levy
Publisher: Wiley-Blackwell
Published: 1989
Total Pages: 296
ISBN-13:
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Author: David N. L. Levy
Publisher: Wiley-Blackwell
Published: 1989
Total Pages: 296
ISBN-13:
DOWNLOAD EBOOKAuthor: Judea Pearl
Publisher: Addison Wesley Publishing Company
Published: 1984
Total Pages: 406
ISBN-13:
DOWNLOAD EBOOKProblem-solving strartegies and the nature of Heuristic informatio n.Heuristics and problem representations. Basic Heuristic-Search procedures. Formal properties of Heuristic methods. Heuristics viewed as information provided by simplified models. Performance analysis of Heuristic methods. Abstract models for quantitative performace analysis. Complexity versus precision of admissible Heuristics. Searching with nonadmissible Heuristics. Game-playing programs. Strategies and models for game-playing programs. Performace analysis for game-searching strategies. Decision quality in game searching. Bibliography. Index.
Author: Victor Allis
Publisher: Prentice Hall
Published: 1992
Total Pages: 296
ISBN-13:
DOWNLOAD EBOOKAuthor: R.S. Michalski
Publisher: Springer Science & Business Media
Published: 2013-04-17
Total Pages: 564
ISBN-13: 366212405X
DOWNLOAD EBOOKThe ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn ing processes is of great significance to fields concerned with understanding in telligence. Such fields include cognitive science, artificial intelligence, infor mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observance of the silver anniversary of artificial intelligence has been heralded by a surge of interest in machine learning-both in building models of human learning and in understanding how machines might be endowed with the ability to learn. This renewed interest has spawned many new research projects and resulted in an increase in related scientific activities. In the summer of 1980, the First Machine Learning Workshop was held at Carnegie-Mellon University in Pittsburgh. In the same year, three consecutive issues of the Inter national Journal of Policy Analysis and Information Systems were specially devoted to machine learning (No. 2, 3 and 4, 1980). In the spring of 1981, a special issue of the SIGART Newsletter No. 76 reviewed current research projects in the field. . This book contains tutorial overviews and research papers representative of contemporary trends in the area of machine learning as viewed from an artificial intelligence perspective. As the first available text on this subject, it is intended to fulfill several needs.
Author: N. V. Findler
Publisher: Elsevier Publishing Company
Published: 1971
Total Pages: 350
ISBN-13:
DOWNLOAD EBOOKAuthor: Leveen Kanal
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 491
ISBN-13: 1461387884
DOWNLOAD EBOOKSearch is an important component of problem solving in artificial intelligence (AI) and, more generally, in computer science, engineering and operations research. Combinatorial optimization, decision analysis, game playing, learning, planning, pattern recognition, robotics and theorem proving are some of the areas in which search algbrithms playa key role. Less than a decade ago the conventional wisdom in artificial intelligence was that the best search algorithms had already been invented and the likelihood of finding new results in this area was very small. Since then many new insights and results have been obtained. For example, new algorithms for state space, AND/OR graph, and game tree search were discovered. Articles on new theoretical developments and experimental results on backtracking, heuristic search and constraint propaga tion were published. The relationships among various search and combinatorial algorithms in AI, Operations Research, and other fields were clarified. This volume brings together some of this recent work in a manner designed to be accessible to students and professionals interested in these new insights and developments.
Author: James R. Slagle
Publisher:
Published: 1971
Total Pages: 216
ISBN-13:
DOWNLOAD EBOOK"This book consists of an organized description of "intelligent" machines. The book is primarily a textbook for undergraduate and graduate student s of computer science in general, and artificial intelligence in particular."--Preface
Author: Subrata Dasgupta
Publisher: Oxford University Press
Published: 2016
Total Pages: 169
ISBN-13: 0198733461
DOWNLOAD EBOOKWhile the development of Information Technology has been obvious to all, the underpinning computer science has been less apparent. Subrata Dasgupta provides a thought-provoking introduction to the field and its core principles, considering computer science as a science of symbol processing.
Author: Mike James
Publisher: Newnes
Published: 2013-09-03
Total Pages: 129
ISBN-13: 1483141438
DOWNLOAD EBOOKArtificial Intelligence in BASIC presents some of the central ideas and practical applications of artificial intelligence (AI) using the BASIC programs. This eight-chapter book aims to explain these ideas of AI that can be used to produce programs on microcomputers. After providing an overview of the concept of AI, this book goes on examining the features and difficulties of a heuristic solution in a wide range of human problems. The discussion then shifts to the application of a heuristic solution to a two-ply search program for a two-person game. The following chapters are devoted to the other components of AI, including the expert systems, memory structure, pattern recognition, and language. The concluding chapter deals with the alternative and auxiliary approaches to the study of AI and its practical applications. Computer scientists and programmers will find this work invaluable.
Author: Ronald Chrisley
Publisher: Taylor & Francis
Published: 2000
Total Pages: 550
ISBN-13: 9780415193320
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