Download or read book Massively Parallel Artificial Intelligence written by Hiroaki Kitano and published by . This book was released on 1994 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increased sophistication and availability of massively parallel supercomputers has had two major impacts on research in artificial intelligence, both of which are addressed in this collection of exciting new AI theories and experiments. Massively parallel computers have been used to push forward research in traditional AI topics such as vision, search, and speech. More important, these machines allow AI to expand in exciting new ways by taking advantage of research in neuroscience and developing new models and paradigms, among them associate memory, neural networks, genetic algorithms, artificial life, society-of-mind models, and subsumption architectures.A number of chapters show that massively parallel computing enables AI researchers to handle significantly larger amounts of data in real time, which changes the way that AI systems can be built, which in turn makes memory-based reasoning and neural-network-based vision systems become practical. Other chapters present the contrasting view that massively parallel computing provides a platform to model and build intelligent systems by simulating the (massively parallel) processes that occur in nature.
Download or read book Parallel Processing for Artificial Intelligence 1 written by L.N. Kanal and published by Elsevier. This book was released on 2014-06-28 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Massively Parallel Models of Computation written by Valmir C. Barbosa and published by . This book was released on 1993 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Parallel Computation and Computers for Artificial Intelligence written by J.S. Kowalik and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Massively Parallel Optical and Neural Computing in the United States written by Gilbert Kalb and published by IOS Press. This book was released on 1992 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: A survey of products and research projects in the field of highly parallel, optical and neural computers in the USA. It covers operating systems, language projects and market analysis, as well as optical computing devices and optical connections of electronic parts.
Download or read book Parallel Processing for Artificial Intelligence 3 written by J. Geller and published by Elsevier. This book was released on 1997-02-10 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Brain Like and Massively Parallel Computers written by Branko Soucek and published by Wiley-Interscience. This book was released on 1988-06-23 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to serve as a textbook/reference in psychological/intelligent/neural/knowledge engineering and its related technologies.
Download or read book A Massively Parallel Architecture for Associative based Artificial Intelligence written by James D. Roberts and published by . This book was released on 1995 with total page 762 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Massively Parallel Models of Computation written by Valmir C. Barbosa and published by Prentice Hall. This book was released on 1993 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text explores the simulation by distributed parallel computers of massively parallel models of interest in artificial intelligence. A series of models are surveyed, including cellular automata, Hopfield neural networks, Bayesian networks, Markov random fields and Boltzmann machines.
Download or read book Massively Parallel AI written by David Waltz and published by . This book was released on 1990 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today's massively parallel machines present AI with a golden opportunity to make an impact, especially in the world of commercial applications. The most striking near-term opportunity is in the marriage of research on very large databases with case-based and memory-based AI. Moreover, such applications are steps on a path that can lead eventually to a class of truly intelligent systems.
Download or read book AAAI 94 written by and published by . This book was released on 1994-08 with total page 1544 pages. Available in PDF, EPUB and Kindle. Book excerpt: AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.
Download or read book MISC written by James D. Roberts and published by . This book was released on 1995 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An AI based Approach to Massively Parallel Programming written by Jiri J. Dvorak and published by . This book was released on 1993 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Models of Massive Parallelism written by Max Garzon and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Locality is a fundamental restriction in nature. On the other hand, adaptive complex systems, life in particular, exhibit a sense of permanence and time lessness amidst relentless constant changes in surrounding environments that make the global properties of the physical world the most important problems in understanding their nature and structure. Thus, much of the differential and integral Calculus deals with the problem of passing from local information (as expressed, for example, by a differential equation, or the contour of a region) to global features of a system's behavior (an equation of growth, or an area). Fundamental laws in the exact sciences seek to express the observable global behavior of physical objects through equations about local interaction of their components, on the assumption that the continuum is the most accurate model of physical reality. Paradoxically, much of modern physics calls for a fundamen tal discrete component in our understanding of the physical world. Useful computational models must be eventually constructed in hardware, and as such can only be based on local interaction of simple processing elements.
Download or read book Multi Computer Architectures for Artificial Intelligence written by Leonard Uhr and published by Wiley-Interscience. This book was released on 1987-02-20 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the most current and complete evaluation of multi-computer networks. It presents an up-to-date and detailed survey which describes the large number of multi-computer architectures that have been built during the past few years, and the even greater variety that are presently being built, designed, and explored. Special emphasis is given to approaches that show promise for handling complex real-world problems in real time. Describes the range of problems that confront workers in artificial intelligence (AI), and explains some of the major approaches being taken by AI researchers, focusing on the robust, flexible, extremely fast (hence highly parallel) systems. Presents judgements and opinions as to the most promising multi-computer archtectures for AI--including a number of exciting multi-computer structures.
Download or read book Parallel Architectures and Parallel Algorithms for Integrated Vision Systems written by Alok N. Choudary and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision is one of the most complex and computationally intensive problem. Like any other computationally intensive problems, parallel pro cessing has been suggested as an approach to solving the problems in com puter vision. Computer vision employs algorithms from a wide range of areas such as image and signal processing, advanced mathematics, graph theory, databases and artificial intelligence. Hence, not only are the comput ing requirements for solving vision problems tremendous but they also demand computers that are efficient to solve problems exhibiting vastly dif ferent characteristics. With recent advances in VLSI design technology, Single Instruction Multiple Data (SIMD) massively parallel computers have been proposed and built. However, such architectures have been shown to be useful for solving a very limited subset of the problems in vision. Specifically, algorithms from low level vision that involve computations closely mimicking the architec ture and require simple control and computations are suitable for massively parallel SIMD computers. An Integrated Vision System (IVS) involves com putations from low to high level vision to be executed in a systematic fashion and repeatedly. The interaction between computations and information dependent nature of the computations suggests that architectural require ments for computer vision systems can not be satisfied by massively parallel SIMD computers.
Download or read book Vlsi And Parallel Computing For Pattern Recognition And Artificial Intelligence written by N Ranganathan and published by World Scientific. This book was released on 1995-06-30 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers parallel algorithms and architectures and VLSI chips for a range of problems in image processing, computer vision, pattern recognition and artificial intelligence. The specific problems addressed include vision and image processing tasks, Fast Fourier Transforms, Hough Transforms, Discrete Cosine Transforms, image compression, polygon matching, template matching, pattern matching, fuzzy expert systems and image rotation. The collection of papers gives the reader a good introduction to the state-of-the-art, while for an expert this serves as a good reference and a source of some new contributions in this field.
