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Parallel Processing For Artificial Intelligence 1


Parallel Processing For Artificial Intelligence 1
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Parallel Processing For Artificial Intelligence 1


Parallel Processing For Artificial Intelligence 1
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Author : L.N. Kanal
language : en
Publisher: Elsevier
Release Date : 2014-06-28

Parallel Processing For Artificial Intelligence 1 written by L.N. Kanal and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.


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.



Parallel Processing For Artificial Intelligence 3


Parallel Processing For Artificial Intelligence 3
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Author : J. Geller
language : en
Publisher: Elsevier
Release Date : 1997-02-10

Parallel Processing For Artificial Intelligence 3 written by J. Geller and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-02-10 with Computers categories.


The third in an informal series of books about parallel processing for Artificial Intelligence, this volume is based on the assumption that the computational demands of many AI tasks can be better served by parallel architectures than by the currently popular workstations. However, no assumption is made about the kind of parallelism to be used. Transputers, Connection Machines, farms of workstations, Cellular Neural Networks, Crays, and other hardware paradigms of parallelism are used by the authors of this collection.The papers arise from the areas of parallel knowledge representation, neural modeling, parallel non-monotonic reasoning, search and partitioning, constraint satisfaction, theorem proving, parallel decision trees, parallel programming languages and low-level computer vision. The final paper is an experience report about applications of massive parallelism which can be said to capture the spirit of a whole period of computing history.This volume provides the reader with a snapshot of the state of the art in Parallel Processing for Artificial Intelligence.



Parallel Computation And Computers For Artificial Intelligence


Parallel Computation And Computers For Artificial Intelligence
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Author : J.S. Kowalik
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Parallel Computation And Computers For Artificial Intelligence written by J.S. Kowalik and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


It has been widely recognized that artificial intelligence computations offer large potential for distributed and parallel processing. Unfortunately, not much is known about designing parallel AI algorithms and efficient, easy-to-use parallel computer architectures for AI applications. The field of parallel computation and computers for AI is in its infancy, but some significant ideas have appeared and initial practical experience has become available. The purpose of this book has been to collect in one volume contributions from several leading researchers and pioneers of AI that represent a sample of these ideas and experiences. This sample does not include all schools of thought nor contributions from all leading researchers, but it covers a relatively wide variety of views and topics and in this sense can be helpful in assessing the state ofthe art. We hope that the book will serve, at least, as a pointer to more specialized literature and that it will stimulate interest in the area of parallel AI processing. It has been a great pleasure and a privilege to cooperate with all contributors to this volume. They have my warmest thanks and gratitude. Mrs. Birgitta Knapp has assisted me in the editorial task and demonstrated a great deal of skill and patience. Janusz S. Kowalik vii INTRODUCTION Artificial intelligence (AI) computer programs can be very time-consuming.



Understanding Artificial Intelligence


Understanding Artificial Intelligence
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Author : Henry C. Mishkoff
language : en
Publisher: Sams Technical Publishing
Release Date : 1988

Understanding Artificial Intelligence written by Henry C. Mishkoff and has been published by Sams Technical Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Computers categories.




Parallel Processing For Artificial Intelligence


Parallel Processing For Artificial Intelligence
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Author : Hiroaki Kitano
language : en
Publisher:
Release Date : 1994

Parallel Processing For Artificial Intelligence written by Hiroaki Kitano and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.




Applied Artificial Intelligence


Applied Artificial Intelligence
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Author : Kevin Warwick
language : en
Publisher: Institution of Electrical Engineers
Release Date : 1991

Applied Artificial Intelligence written by Kevin Warwick and has been published by Institution of Electrical Engineers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.


An introduction to the selection and application of artificial intelligence tools, with the emphasis on implementation and engineering environments. Topics addressed range from reasoning, architecture and software and knowledge-based systems to computer-based image processing.



Parallel Processing And Artificial Intelligence


Parallel Processing And Artificial Intelligence
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Author : Mike Reeve
language : en
Publisher:
Release Date : 1989-09-28

Parallel Processing And Artificial Intelligence written by Mike Reeve and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-09-28 with Computers categories.


Comprises papers based on an international conference held at Imperial College, London, July 1989. Topics covered include neural networks, robotics, image understanding, parallel implementations of logic languages, and parallel implementation of Lisp. Many of the papers here detail use of the INMOS transputer, and the Communicating Process Architecture on which INMOS was founded. But the theme is application of parallelism in a general way, especially in artificial intelligence.



Artificial Intelligence Techniques For Astronomy


Artificial Intelligence Techniques For Astronomy
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Author : André Heck
language : en
Publisher:
Release Date : 1989

Artificial Intelligence Techniques For Astronomy written by André Heck and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Artificial intelligence categories.




Proceedings Of The International Ieee Conference On Tools For Artificial Intelligence


Proceedings Of The International Ieee Conference On Tools For Artificial Intelligence
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Author :
language : en
Publisher:
Release Date : 1993

Proceedings Of The International Ieee Conference On Tools For Artificial Intelligence written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Algorithms categories.




Misc


Misc
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Author : James Donald Roberts
language : en
Publisher:
Release Date : 1995

Misc written by James Donald Roberts and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computer architecture categories.