Download or read book From Natural Language Processing to Logic for Expert Systems written by Jean-Louis Binot and published by . This book was released on 1991-08-21 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers some of the most significant applications of artificial intelligence, namely: natural language processing, speech understanding, expert system design, requirement engineering, machine learning, truth maintenance systems, advanced concepts and methods of logic programming. Together with the previous two volumes edited by Thayse, this completes a comprehensive exposition of the subject of logics applied to AI.
Download or read book From Natural Language Processing to Logic for Expert Systems written by and published by . This book was released on 1991 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book From Natural Language Processing to Logic for Expert Systems written by André Thayse and published by . This book was released on 1990 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Knowledge Systems and Prolog written by Adrian Walker and published by Addison Wesley Publishing Company. This book was released on 1990 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Artificial Intelligence Expert Systems Computer Vision and Natural Language Processing written by William B. Gevarter and published by William Andrew. This book was released on 1984 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Artificial Intelligence Expert Systems Sourcebook written by V. Daniel Hunt and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Knowledge Systems and Prolog written by Adrian Walker and published by Reading, Mass. : Addison-Wesley Publishing Company. This book was released on 1987 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge systems: principles and practice; A Prolog to Prolog; Programming techniques in prolog; Expert systems in prolog; Natural language processing in prolog; Conclusions; Appendices; Index.
Download or read book Advances in Artificial Intelligence written by Martin C. Golumbic and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Expert Systems and Applied Artificial Intelligence written by Efraim Turban and published by Macmillan College. This book was released on 1992 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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
Download or read book Natural Language Processing and Knowledge Representation written by Łucja M. Iwańska and published by AAAI Press. This book was released on 2000-06-19 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Traditionally, knowledge representation and reasoning systems have incorporated natural language as interfaces to expert systems or knowledge bases that performed tasks separate from natural language processing. As this book shows, however, the computational nature of representation and inference in natural language makes it the ideal model for all tasks in an intelligent computer system. Natural language processing combines the qualitative characteristics of human knowledge processing with a computer's quantitative advantages, allowing for in-depth, systematic processing of vast amounts of information.
Download or read book Natural Language Computing written by Ray C. Dougherty and published by Psychology Press. This book was released on 2013-03-07 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book's main goal is to show readers how to use the linguistic theory of Noam Chomsky, called Universal Grammar, to represent English, French, and German on a computer using the Prolog computer language. In so doing, it presents a follow-the-dots approach to natural language processing, linguistic theory, artificial intelligence, and expert systems. The basic idea is to introduce meaningful answers to significant problems involved in representing human language data on a computer.
Download or read book Python Natural Language Processing written by Jalaj Thanaki and published by Packt Publishing Ltd. This book was released on 2017-07-31 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage the power of machine learning and deep learning to extract information from text data About This Book Implement Machine Learning and Deep Learning techniques for efficient natural language processing Get started with NLTK and implement NLP in your applications with ease Understand and interpret human languages with the power of text analysis via Python Who This Book Is For This book is intended for Python developers who wish to start with natural language processing and want to make their applications smarter by implementing NLP in them. What You Will Learn Focus on Python programming paradigms, which are used to develop NLP applications Understand corpus analysis and different types of data attribute. Learn NLP using Python libraries such as NLTK, Polyglot, SpaCy, Standford CoreNLP and so on Learn about Features Extraction and Feature selection as part of Features Engineering. Explore the advantages of vectorization in Deep Learning. Get a better understanding of the architecture of a rule-based system. Optimize and fine-tune Supervised and Unsupervised Machine Learning algorithms for NLP problems. Identify Deep Learning techniques for Natural Language Processing and Natural Language Generation problems. In Detail This book starts off by laying the foundation for Natural Language Processing and why Python is one of the best options to build an NLP-based expert system with advantages such as Community support, availability of frameworks and so on. Later it gives you a better understanding of available free forms of corpus and different types of dataset. After this, you will know how to choose a dataset for natural language processing applications and find the right NLP techniques to process sentences in datasets and understand their structure. You will also learn how to tokenize different parts of sentences and ways to analyze them. During the course of the book, you will explore the semantic as well as syntactic analysis of text. You will understand how to solve various ambiguities in processing human language and will come across various scenarios while performing text analysis. You will learn the very basics of getting the environment ready for natural language processing, move on to the initial setup, and then quickly understand sentences and language parts. You will learn the power of Machine Learning and Deep Learning to extract information from text data. By the end of the book, you will have a clear understanding of natural language processing and will have worked on multiple examples that implement NLP in the real world. Style and approach This book teaches the readers various aspects of natural language Processing using NLTK. It takes the reader from the basic to advance level in a smooth way.
Download or read book Expert System written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-06 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Research and Development in Expert Systems IX written by British Computer Society. Specialist Group on Expert Systems. Technical Conference and published by Cambridge University Press. This book was released on 1993-02-04 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the refereed and invited papers which were presented at Expert Systems 92, the twelfth annual conference of the British Computer Society's Specialist Group on Expert Systems, held in Cambridge in December 1992. Together with its predecessors this is essential reading for those who wish to keep up-to-date with developments and opportunities in this important field.
Download or read book A logical approach to expert systems and natural language processing written by Adrian Walker and published by . This book was released on 1987 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Learning of Natural Language written by David M.W. Powers and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: We met because we both share the same views of language. Language is a living organism, produced by neural mechanisms relating in large numbers as a society. Language exists between minds, as a way of communicating between them, not as an autonomous process. The logical 'rules' seem to us an epiphe nomena ·of the neural mechanism, rather than an essential component in language. This view of language has been advocated by an increasing number of workers, as the view that language is simply a collection of logical rules has had less and less success. People like Yorick Wilks have been able to show in paper after paper that almost any rule which can be devised can be shown to have exceptions. The meaning does not lie in the rules. David Powers is a teacher of computer science. Christopher Turk, like many workers who have come into the field of AI (Artificial Intelligence) was originally trained in literature. He moved into linguistics, and then into computational linguistics. In 1983 he took a sabbatical in Roger Shank's AI project in the Computer Science Department at Yale University. Like an earlier visitor to the project, John Searle from California, Christopher Turk was increasingly uneasy at the view of language which was used at Yale.
Download or read book Theoretical Issues in Natural Language Processing written by Yorick Wilks and published by Psychology Press. This book was released on 2018-10-24 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accompanying continued industrial production and sales of artificial intelligence and expert systems is the risk that difficult and resistant theoretical problems and issues will be ignored. The participants at the Third Tinlap Workshop, whose contributions are contained in Theoretical Issues in Natural Language Processing, remove that risk. They discuss and promote theoretical research on natural language processing, examinations of solutions to current problems, development of new theories, and representations of published literature on the subject. Discussions among these theoreticians in artificial intelligence, logic, psychology, philosophy, and linguistics draw a comprehensive, up-to-date picture of the natural language processing field.
