Natural Artificial Parallel Computation
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Natural And Artificial Parallel Computation
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Author : Michael A. Arbib
language : en
Publisher: Mit Press
Release Date : 1990
Natural And Artificial Parallel Computation written by Michael A. Arbib and has been published by Mit Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
These eleven contributions by leaders in the fields of neuroscience, artificial intelligence, and cognitive science cover the phenomenon of parallelism in both natural and artificial systems, from the neural architecture of the human brain to the electronic architecture of parallel computers.The brain's complex neural architecture not only supports higher mental processes, such as learning, perception, and thought, but also supervises the body's basic physiological operating system and oversees its emergency services of damage control and self-repair. By combining sound empirical observation with elegant theoretical modeling, neuroscientists are rapidly developing a detailed and convincing account of the organization and the functioning of this natural, living parallel machine. At the same time, computer scientists and engineers are devising imaginative parallel computing machines and the programming languages and techniques necessary to use them to create superb new experimental instruments for the study of all parallel systems.Michael A. Arbib is Professor of Computer Science, Neurobiology, and Physiology at the University of Southern California. J. Alan Robinson is University Professor at Syracuse University.Contents: Natural and Artificial Parallel Computation, M. A. Arbib, J. A. Robinson. The Evolution of Computing, R. E. Gomory. The Nature of Parallel Programming, P. Brinch Hansen. Toward General Purpose Parallel Computers, D. May. Applications of Parallel Supercomputers, G. E. Fox. Cooperative Computation in Brains and Computers, M. A. Arbib. Parallel Processing in the Primate Cortex, P. Goldman-Rakic. Neural Darwinism, G. M. Edelman, G. N. Reeke, Jr. How the Brain Rewires Itself, M. Merzenich. Memory-Based Reasoning, D. Waltz. Natural and Artificial Reasoning, J. A. Robinson.
Natural Artificial Parallel Computation
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Author : David L. Waltz
language : en
Publisher: SIAM
Release Date : 1996-01-01
Natural Artificial Parallel Computation written by David L. Waltz and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-01-01 with Computers categories.
The volume begins with processing in biological organisms, moves through interactions between processing in biology and computer science, and ends with massively parallel computing. It contains articles by scientists exploring the modeling of biological systems on computers and computer designers interested in exploiting massive numbers of computing elements in parallel.
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 Natural Language Processing
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Author : Geert Adriaens
language : en
Publisher: Intellect Books
Release Date : 1994
Parallel Natural Language Processing written by Geert Adriaens and has been published by Intellect Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
Parallel processing is not only a general topic of interest for computer scientists and researchers in artificial intelligence, but it is gaining more and more attention in the community of scientists studying natural language and its processing (computational linguists, AI researchers, psychologists). The growing need to integrate large divergent bodies of knowledge in natural language processing applications, or the belief that massively parallel systems are the only ones capable of handling the complexities and subtleties of natural language, are just two examples of the reasons for this increasing interest.
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.
Parallel Algorithms For Machine Intelligence And Vision
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Author : Vipin Kumar
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Parallel Algorithms For Machine Intelligence And Vision written by Vipin Kumar 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.
Recent research results in the area of parallel algorithms for problem solving, search, natural language parsing, and computer vision, are brought together in this book. The research reported demonstrates that substantial parallelism can be exploited in various machine intelligence and vision problems. The chapter authors are prominent researchers actively involved in the study of parallel algorithms for machine intelligence and vision. Extensive experimental studies are presented that will help the reader in assessing the usefulness of an approach to a specific problem. Intended for students and researchers actively involved in parallel algorithms design and in machine intelligence and vision, this book will serve as a valuable reference work as well as an introduction to several research directions in these areas.
Parallel Processing For Artificial Intelligence
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Author :
language : en
Publisher:
Release Date : 1994
Parallel Processing 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 1994 with Artificial intelligence categories.
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 Processing And Artificial Intelligence
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Author : Mike Reeve
language : en
Publisher: Wiley
Release Date : 1989-09-28
Parallel Processing And Artificial Intelligence written by Mike Reeve and has been published by Wiley 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.
Massively Parallel Evolutionary Computation On Gpgpus
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Author : Shigeyoshi Tsutsui
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-05
Massively Parallel Evolutionary Computation On Gpgpus written by Shigeyoshi Tsutsui 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 2013-12-05 with Computers categories.
Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite computational resources. Therefore, there have been many attempts to develop platforms for running parallel EAs using multicore machines, massively parallel cluster machines, or grid computing environments. Recent advances in general-purpose computing on graphics processing units (GPGPU) have opened up this possibility for parallel EAs, and this is the first book dedicated to this exciting development. The three chapters of Part I are tutorials, representing a comprehensive introduction to the approach, explaining the characteristics of the hardware used, and presenting a representative project to develop a platform for automatic parallelization of evolutionary computing (EC) on GPGPUs. The 10 chapters in Part II focus on how to consider key EC approaches in the light of this advanced computational technique, in particular addressing generic local search, tabu search, genetic algorithms, differential evolution, swarm optimization, ant colony optimization, systolic genetic search, genetic programming, and multiobjective optimization. The 6 chapters in Part III present successful results from real-world problems in data mining, bioinformatics, drug discovery, crystallography, artificial chemistries, and sudoku. Although the parallelism of EAs is suited to the single-instruction multiple-data (SIMD)-based GPU, there are many issues to be resolved in design and implementation, and a key feature of the contributions is the practical engineering advice offered. This book will be of value to researchers, practitioners, and graduate students in the areas of evolutionary computation and scientific computing.