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The Handbook Of Artificial Intelligence

Author: Paul R. Cohen
Publisher: Butterworth-Heinemann
ISBN: 1483214397
Size: 12.28 MB
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The Handbook of Artificial Intelligence, Volume I focuses on the progress in artificial intelligence (AI) and its increasing applications, including parsing, grammars, and search methods. The book first elaborates on AI, AI handbook and literature, problem representation, search methods, and sample search programs. The text then ponders on representation of knowledge, including survey of representation techniques and representation schemes. The manuscript explores understanding natural languages, as well as machine translation, grammars, parsing, test generation, and natural language processing systems. The book also takes a look at understanding spoken language, including systems architecture and the ARPA SUR projects. The text is a valuable source of information for computer science experts and researchers interested in pursuing further research in artificial intelligence

Search A Section Of The Handbook Of Artificial Intelligence

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Size: 72.40 MB
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In the Handbook we intend to cover the breadth and depth of Al, presenting general overviews of the scientific issues, as well as detailed discussions of particular techniques and important Al systems. Throughout we have tried to keep in mind the reader who is not a specialist in Al. As the cost of computation continues to fall, new areas of application of computers become potentially viable. For many of these areas, there do not exist mathematical 'cores' to structure calculational use of the computer. Such areas will inevitably be served by symbolic models and symbolic inference techniques. Yet those who understand symbolic computation have been speaking largely to themselves for twenty years. We feel that it is urgent for Al to 'go public' in the manner intended by the Handbook. Several other writers have recognized a need for more widespread knowledge of Al and have attempted to help fill the vacuum. Lay reviews, in particular Margaret Boden's Artificial Intelligence and Natural Man, have tried to explain what is important and interesting about Al, and how research in Al progresses through our programs. In addition, there are a few textbooks that attempt to present a more detailed view of selected areas of Al, for the serious student of computer science. But no textbook can hope to describe all of the sub-areas, present brief explanations of the important ideas and techniques, and review the 40 or 50 most important Al systems.

Automatic Programming

Author: Robert Elschlager
Publisher:
ISBN:
Size: 77.87 MB
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Automatic Programming (AP) is a new, dynamic, and not precisely defined area of artificial intelligence. This overview discusses the definitions, history, motivating forces and goals of automatic programming and includes a brief description of the basic characteristics and central issues of AP systems. The article begins with a section discussing the various possible definitions of automatic programming, the background in which it has achieved existence, as well as some of its general motivating forces and goals. The next section describes four characteristics of all AP systems: the method by which a user of such a system specifies or describes the desired program, the target language in which the system writes the program, the problem or application area to which the system is addressed, and the approach or operational method employed by the system. Next, a section discusses four basic issues, one or more of which concern all AP systems: the representation and processing of partial or incomplete information; the transformation of structures, and especially the transformation of program descriptions into other descriptions (in this chapter, the term program description includes the user's specification of the desired program, any internal representations of the program, as well as the target language implementation); the efficiency of the target language implementation; and the system's capabilities for aiding in the understanding of the program.

Handbook Of Logic In Artificial Intelligence And Logic Programming Epistemic And Temporal Reasoning

Author: Dov M. Gabbay
Publisher: Oxford University Press, USA
ISBN: 9780198537915
Size: 57.31 MB
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The handbook of logic in artificial intelligence and logic programming is an international reference work in five volumes. It has been created in response to the growing need for an in-depth survey of the applications of logic in artifical intelligence. The dramatic increase in research in recent years means that logic is now widely recognised as one of the foundational disciplines of computing and has found applications in virtually all aspects of the subject, from software engineeringand hardware to programming languages and artificial intelligence. Yet this handbook is the first authoritative text to pull together the accumulated research level material, and as such is a unique and invaluable reference source. The Handbook of Logic in Artificial Intelligence and Logic Programming is a multi-author multi-volume work covering all the major areas of application of logic to artifical intelligence and logic programming. The Handbook comprises five volumes, each an in-depth overview of one of the major topics in this area. It is the result of years of co-operative effort by internationally renowned researchers in the field, and will no doubt be the standard reference work in artifical intelligence and logic programming for years to come- essential reading for all those interested in this subject. This latest volume covers, among other subjects, epistemic reasoning, time and change for AI, and temporal nonmonotonic reasoning.

Handbook Of Logic In Artificial Intelligence And Logic Programming Volume 1 Logic Foundations

Author: Dov M. Gabbay
Publisher: Oxford University Press
ISBN: 019853745X
Size: 30.35 MB
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The Handbook of Logic in Artificial Intelligence and Logic Programming will be published in five volumes and has been created in response to the growing need for an in-depth survey of the applications of logic in AI and computer science.Logic is now widely recognized as one of the foundational disciplines of computing and has found applications in virtually all aspects of the subject, from software engineering and hardware to programminglanguages and artificial intelligence.This first volume presents the logical foundations and deduction methodologies extensively used in AI.

Artificial Intelligence

Author: Blay Whitby
Publisher: The Rosen Publishing Group
ISBN: 143585165X
Size: 50.98 MB
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Introduces artificial intelligence, what it can do, myths about it, and ways it may expand in the future.

Handbook Of Logic In Artificial Intelligence And Logic Programming Volume 2 Deduction Methodologies

Author: Dov M. Gabbay
Publisher: Oxford University Press
ISBN: 9780198537465
Size: 50.67 MB
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The Handbook of Logic in Artificial Intelligence and Logic Programming is a multi-author volume work covering all major areas of application of logic to AI and logic programming. Initially there will be six volumes containing a total of 43 articles, each article averaging around 75 pages in length but with some rather longer as the subject may demand. The authors are chosen on an international basis and are leaders in the fields covered. The Handbook is a closely co-ordinated work which has been under development for the past five years. Volume 2 covers deduction methodologies.

Handbook Of Logic In Artificial Intelligence And Logic Programming Volume 5 Logic Programming

Author: Dov M. Gabbay
Publisher: Clarendon Press
ISBN: 9780191546280
Size: 65.68 MB
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The Handbook of Logic in Artificial Intelligence and Logic Programming is a multi-volume work covering all major areas of the application of logic to artificial intelligence and logic programming. The authors are chosen on an international basis and are leaders in the fields covered. Volume 5 is the last in this well-regarded series. Logic is now widely recognized as one of the foundational disciplines of computing. It has found applications in virtually all aspects of the subject, from software and hardware engineering to programming languages and artificial intelligence. In response to the growing need for an in-depth survey of these applications the Handbook of Logic in Artificial Intelligence and its companion, the Handbook of Logic in Computer Science have been created. The Handbooks are a combination of authoritative exposition, comprehensive survey, and fundamental research exploring the underlying themes in the various areas. Some mathematical background is assumed, and much of the material will be of interest to logicians and mathematicians. Volume 5 focuses particularly on logic programming. The chapters, which in many cases are of monograph length and scope, emphasize possible unifying themes.