Proceedings

Proceedings PDF Author: American Association for Artificial Intelligence
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 424

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Proceedings

Proceedings PDF Author: American Association for Artificial Intelligence
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 424

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Book Description


Proceedings AAAI-88 Seventh National Conference on Artificial Intelligence, August 21-26, 1988, St. Paul, Minnesota, USA

Proceedings AAAI-88 Seventh National Conference on Artificial Intelligence, August 21-26, 1988, St. Paul, Minnesota, USA PDF Author: American Association for Artificial Intelligence
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 496

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Book Description


Proceedings AAAI-88 Seventh National Conference on Artificial Intelligence

Proceedings AAAI-88 Seventh National Conference on Artificial Intelligence PDF Author: National Conference on Artificial Intelligence: AAAI-88. 7th (St.Paul, Minnesota).
Publisher:
ISBN: 9780929280004
Category : Artificial intelligence
Languages : en
Pages : 0

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AAAI-88

AAAI-88 PDF Author: Aaai
Publisher: Aaai Press
ISBN: 9780262510561
Category : Computers
Languages : en
Pages : 910

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Book Description
AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.

Artificial Intelligence

Artificial Intelligence PDF Author: Ela Kumar
Publisher: I. K. International Pvt Ltd
ISBN: 819065666X
Category :
Languages : en
Pages : 477

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Book Description
AI is an emerging discipline of computer science. It deals with the concepts and methodologies required for computer to perform an intelligent activity. The spectrum of computer science is very wide and it enables the computer to handle almost every activity, which human beings could. It deals with defining the basic problem from viewpoint of solving it through computer, finding out the total possibilities of solution, representing the problem from computational orientation, selecting data structures, finding the solution through searching the goal in search space dealing the real world uncertain situations etc. It also develops the techniques for learning and understanding, which make the computer able to exhibit an intelligent behavior. The list is exhaustive and is applied now a days in almost every field of technology. This book presents almost all the components of AI like problem solving, search techniques, knowledge concepts, expert system and many more in a very simple language. One of the unique features of this book is inclusion of number of solved examples; in between the chapters and also at the end of many chapters. Real life examples have been discussed to make the reader conversant with the intricate phenomenon of computer science in general, and artificial intelligence in particular. The book is primarily developed for undergraduate and postgraduate engineering students.

Proceedings

Proceedings PDF Author: National Conference on Artificial Intelligence
Publisher:
ISBN:
Category :
Languages : en
Pages : 10

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Advances in Artificial Intelligence

Advances in Artificial Intelligence PDF Author: Canadian Society for Computational Studies of Intelligence. Conference
Publisher: Springer Science & Business Media
ISBN: 9783540612919
Category : Artificial intelligence
Languages : en
Pages : 668

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Book Description
This book constitutes the refereed proceedings of the 11th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 96, held in Toronto, Ontario, Canada, in May 1996. The 35 revised full papers presented in the book were carefully selected by the program committee. Although organized by a national society, AI 96 attracted contributions and participants with a significant geographic diversity. The issues addressed in this volume cover an electic range of current AI topics with a certain emphasis on various aspects of knowledge representation, natural language processing, and learning.

Uncertainty in Artificial Intelligence

Uncertainty in Artificial Intelligence PDF Author: David Heckerman
Publisher: Morgan Kaufmann
ISBN: 1483214516
Category : Computers
Languages : en
Pages : 554

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Book Description
Uncertainty in Artificial Intelligence contains the proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence held at the Catholic University of America in Washington, DC, on July 9-11, 1993. The papers focus on methods of reasoning and decision making under uncertainty as applied to problems in artificial intelligence (AI) and cover topics ranging from knowledge acquisition and automated model construction to learning, planning, temporal reasoning, and machine vision. Comprised of 66 chapters, this book begins with a discussion on causality in Bayesian belief networks before turning to a decision theoretic account of conditional ought statements that rectifies glaring deficiencies in classical deontic logic and forms a sound basis for qualitative decision theory. Subsequent chapters explore trade-offs in constructing and evaluating temporal influence diagrams; normative engineering risk management systems; additive belief-network models; and sensitivity analysis for probability assessments in Bayesian networks. Automated model construction and learning as well as algorithms for inference and decision making are also considered. This monograph will be of interest to both students and practitioners in the fields of AI and computer science.

Advances in Artificial Intelligence - IBERAMIA 2002

Advances in Artificial Intelligence - IBERAMIA 2002 PDF Author: Francisco J. Garijo
Publisher: Springer Science & Business Media
ISBN: 354000131X
Category : Computers
Languages : en
Pages : 974

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Book Description
This book constitutes the refereed proceedings of the 8th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2002, held in Seville, Spain, in November 2002. The 97 revised full papers presented were carefully reviewed and selected from a total of 345 submissions. The papers are organized in topical sections on knowledge representation and reasoning, machine learning, uncertainty and fuzzy systems, genetic algorithms, neural nets, distributed artificial intelligence and multi-agent systems, natural language processing, intelligent tutoring systems, control and real time, robotics, and computer vision.

Parallel Processing for Artificial Intelligence 1

Parallel Processing for Artificial Intelligence 1 PDF Author: L.N. Kanal
Publisher: Elsevier
ISBN: 1483295745
Category : Computers
Languages : en
Pages : 445

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Book Description
Parallel processing for AI problems is of great current interest because of its potential for alleviating the computational demands of AI procedures. The articles in this book consider parallel processing for problems in several areas of artificial intelligence: image processing, knowledge representation in semantic networks, production rules, mechanization of logic, constraint satisfaction, parsing of natural language, data filtering and data mining. The publication is divided into six sections. The first addresses parallel computing for processing and understanding images. The second discusses parallel processing for semantic networks, which are widely used means for representing knowledge - methods which enable efficient and flexible processing of semantic networks are expected to have high utility for building large-scale knowledge-based systems. The third section explores the automatic parallel execution of production systems, which are used extensively in building rule-based expert systems - systems containing large numbers of rules are slow to execute and can significantly benefit from automatic parallel execution. The exploitation of parallelism for the mechanization of logic is dealt with in the fourth section. While sequential control aspects pose problems for the parallelization of production systems, logic has a purely declarative interpretation which does not demand a particular evaluation strategy. In this area, therefore, very large search spaces provide significant potential for parallelism. In particular, this is true for automated theorem proving. The fifth section considers the problem of constraint satisfaction, which is a useful abstraction of a number of important problems in AI and other fields of computer science. It also discusses the technique of consistent labeling as a preprocessing step in the constraint satisfaction problem. Section VI consists of two articles, each on a different, important topic. The first discusses parallel formulation for the Tree Adjoining Grammar (TAG), which is a powerful formalism for describing natural languages. The second examines the suitability of a parallel programming paradigm called Linda, for solving problems in artificial intelligence.Each of the areas discussed in the book holds many open problems, but it is believed that parallel processing will form a key ingredient in achieving at least partial solutions. It is hoped that the contributions, sourced from experts around the world, will inspire readers to take on these challenging areas of inquiry.