Artificial Intelligence Expert Systems Computer Vision And Natural Language Processing
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Artificial Intelligence Expert Systems Computer Vision And Natural Language Processing
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Author : William B. Gevarter
language : en
Publisher: William Andrew
Release Date : 1984
Artificial Intelligence Expert Systems Computer Vision And Natural Language Processing written by William B. Gevarter and has been published by William Andrew this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Artificial intelligence categories.
Expert Systems And Applied Artificial Intelligence
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Author : Efraim Turban
language : en
Publisher: Macmillan College
Release Date : 1992
Expert Systems And Applied Artificial Intelligence written by Efraim Turban and has been published by Macmillan College this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Artificial intelligence categories.
"This book is devoted mainly to applied expert systems. It does cover four additional applied AI Topics: natural language processing, computer vision, speech understanding and intelligent robotics"--Preface
Artificial Intelligence Expert Systems Sourcebook
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Author : V. Daniel Hunt
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Artificial Intelligence Expert Systems Sourcebook written by V. Daniel Hunt 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.
Artificial Intelligence and expert systems research, development, and demonstration have rapidly expanded over the past several years; as a result, new terminology is appearing at a phenomenal rate. This sourcebook provides an introduction to artificial intelligence and expert systems, it provides brief definitions, it includes brief descriptions of software products, and vendors, and notes leaders in the field. Extensive support material is provided by delineating points of contact for receiving additional information, acronyms, a detailed bibliography, and other reference data. The terminology includes artificial intelligence and expert system elements for: • Artificial Intelligence • Expert Systems • Natural language Processing • Smart Robots • Machine Vision • Speech Synthesis The Artificial Intelligence and Expert System Sourcebook is compiled from informa tion acquired from numerous books, journals, and authorities in the field of artificial intelligence and expert systems. I hope this compilation of information will help clarify the terminology for artificial intelligence and expert systems' activities. Your comments, revisions, or questions are welcome. V. Daniel Hunt Springfield, Virginia May, 1986 ix Acknowledgments The information in Artificial Intelligence and Expert Systems Sourcebook has been compiled from a wide variety of authorities who are specialists in their respective fields. The following publications were used as the basic technical resources for this book. Portions of these publications may have been used in the book. Those definitions or artwork used have been reproduced with the permission to reprint of the respective publisher.
Artificial Intelligence Iv
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Author : P. Jorrand
language : en
Publisher: Elsevier
Release Date : 2016-01-22
Artificial Intelligence Iv written by P. Jorrand and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-22 with Computers categories.
Presenting recent results and ongoing research in Artificial Intelligence, this book has a strong emphasis on fundamental questions in several key areas: programming languages, automated reasoning, natural language processing and computer vision. AI is at the source of major programming language design efforts. Different approaches are described, with some of their most significant results: languages combining logic and functional styles, logic and parallel, functional and parallel, logic with constraints. A central problem in AI is automated reasoning, and formal logic is, historically, at the root of research in this domain. This book presents results in automatic deduction, non-monotonic reasoning, non-standard logic, machine learning, and common-sense reasoning. Proposals for knowledge representation and knowledge engineering are described and the neural net challenger to classical symbolic AI is also defended. Finally, AI systems must be able to interact with their environment in a natural and autonomous way. Natural language processing is an important part of this. Various results are presented in discourse planning, natural language parsing, understanding and generation. The autonomy of a machine for perception of its physical environment is also an AI problem and some research in image processing and computer vision is described.
Keyguide To Information Sources In Artificial Intelligence Expert Systems
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Author : Peter J. Hancox
language : en
Publisher: Lawrence, Kan. : Ergosyst Associates ; London : Mansell
Release Date : 1990
Keyguide To Information Sources In Artificial Intelligence Expert Systems written by Peter J. Hancox and has been published by Lawrence, Kan. : Ergosyst Associates ; London : Mansell this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
Crash Course In Artificial Intelligence And Expert Systems
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Author : Louis E. Frenzel
language : en
Publisher: Sams Technical Publishing
Release Date : 1987
Crash Course In Artificial Intelligence And Expert Systems written by Louis E. Frenzel 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 1987 with Computers categories.
Making computers more ueful by making them; Knowledge representation; An approach to problem solving; Introduction to expert systems; Developing an expert system; Natural language processing and voice recognition; Computer vision; Robotics and AI; programming in LISP; Prolog and other AI languages; AI hardware and the future of AI; Appendices; Index.
Artificial Intelligence
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Author : William B. Gevarter
language : en
Publisher:
Release Date : 1984
Artificial Intelligence written by William B. Gevarter and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Artificial intelligence categories.
Expert System
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-06
Expert System written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-06 with Computers categories.
What Is Expert System In the field of artificial intelligence, an expert system is a type of computer program that simulates the abilities of a human expert to make judgment calls. Instead of using typical procedural code, expert systems reason through bodies of knowledge, which are primarily represented as if-then rules. This is in contrast to traditional computer programs, which tackle complicated issues by writing procedural code. In the 1970s, the first expert systems were developed, and later in the 1980s, their use became more widespread. Expert systems were one of the earliest forms of artificial intelligence (AI) software that was actually successful. An expert system can be broken down into its two component subsystems, which are the knowledge base and the inference engine. The knowledge base is a collection of facts and guidelines. The inference engine takes the rules and applies them to the known data in order to derive new information. The capabilities of explanation and debugging are also sometimes included in inference engines. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Expert system Chapter 2: Learning classifier system Chapter 3: AI winter Chapter 4: Constraint logic programming Chapter 5: Constraint satisfaction Chapter 6: CLIPS Chapter 7: Mycin Chapter 8: Knowledge engineering Chapter 9: Rule-based machine learning Chapter 10: CADUCEUS (expert system) (II) Answering the public top questions about expert system. (III) Real world examples for the usage of expert system in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of expert system. What Is Artificial Intelligence Series The Artificial Intelligence eBook series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The Artificial Intelligence eBook series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.
A New Guide To Artificial Intelligence
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Author : Derek Partridge
language : en
Publisher: Intellect (UK)
Release Date : 1991
A New Guide To Artificial Intelligence written by Derek Partridge and has been published by Intellect (UK) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.
Textbook includes both theories and programs, and covers all recognized AI work in sufficient detail to allow a critique from general concerns to be anchored, whenever possible, in the structure of specific AI programs. -- Amazon.com.
Advances In Artificial Intelligence
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Author : Martin C. Golumbic
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Advances In Artificial Intelligence written by Martin C. Golumbic 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.
Research in artificial intelligence, natural language processing and knowledge-based systems has blossomed during the past decade. At national and international symposia as well as in research centers and universities all over the world, these subjects have been the focus of intense debate and study. This is equally true in Israel which has hosted several international forums on these topics. The articles in this book represent a selection of contributions presented at recent AI conferences held in Israel. A theoretical model for a system that learns from its own experience in playing board games is presented in Learning from Experience in Board Games by Ze'ev Ben-Porat and Martin Golumbic. The model enables such a system to enhance and improve its playing capabilities through the use of a learning mechanism which extracts knowledge from actual playing experience. The learning process requires no external guidance or assistance. This model was implemented and tested on a variant of "Chinese Checkers. " The paper shows the feasibility and validity of the proposed model and investigates the parameters that affect its performance traits. The experimental results give evidence of the validity of the model as a powerful learning mechanism. Original and general algorithms for knowledge extraction and pattern matching were designed and tested as part of the prototype computer system. Analysis of the performance characteristics of these algorithms indicates that they can handle large knowledge bases in an efficient manner.