Artificial Intelligence, Expert Systems & Symbolic Computing

Artificial Intelligence, Expert Systems & Symbolic Computing PDF

Author: E.N. Houstis

Publisher: Elsevier

Published: 1992-11-05

Total Pages: 471

ISBN-13: 044459888X

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This volume contains papers in the areas of artificial intelligence, expert systems, symbolic computing and applications to scientific computing. Together, they provide an excellent overview of the dynamic state of these closely related fields. They reveal a future where scientific computation will increasingly involve symbolic and artificial intelligence tools as these software systems become more sophisticated; also a future where systems of computational science and engineering will be problem solving environments created with components from numerical analysis, computational geometry, symbolic computing and artificial intelligence.

Expert System Applications

Expert System Applications PDF

Author: Leonard Bolc

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 475

ISBN-13: 3642833144

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While expert systems technology originated in the United States, its development has become an international concern. Since the start of the DENDRAL project at Stanford University over 15 years ago, with its objective of problem-solving via the automation of actual human expert knowledge, significant expert systems projects have been completed in countries rang ing from Japan to France, Spain to China. This book presents a sample of five such projects, along with four substantial reports of mature studies from North American researchers. Two important issues of expert system design permeate the papers in this volume. The first concerns the incorporation of substantial numeric knowledge into a system. This has become a significant focus of work as researchers have sought to apply expert systems tech nology to complex, real-world domains already subject to statistical or algebraic description (and handled well at some level in numeric terms). A second prominent issue is that of representing control knowledge in a manner which is both explicit, and thus available for inspection, and compatible with the semantics of the problem domain.

Symbolic Artificial Intelligence

Symbolic Artificial Intelligence PDF

Author: Fouad Sabry

Publisher: One Billion Knowledgeable

Published: 2023-07-03

Total Pages: 140

ISBN-13:

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What Is Symbolic Artificial Intelligence In the field of artificial intelligence, the term "symbolic artificial intelligence" refers to the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of issues, logic, and search. In other words, symbolic artificial intelligence is the name for the collection of all methods in artificial intelligence research. Symbolic AI created applications such as knowledge-based systems, symbolic mathematics, automated theorem provers, ontologies, the semantic web, and automated planning and scheduling systems. It utilized techniques such as logic programming, production rules, and semantic nets and frames. The paradigm of symbolic artificial intelligence led to the development of important ideas in the fields of search, symbolic programming languages, agents, multi-agent systems, the semantic web, as well as the benefits and drawbacks of formal knowledge and reasoning systems. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Symbolic Artificial Intelligence Chapter 2: Artificial Intelligence Chapter 3: Expert System Chapter 4: Knowledge Representation and Reasoning Chapter 5: Neats and Scruffies Chapter 6: Dendral Chapter 7: Computational Cognition Chapter 8: Physical Symbol System Chapter 9: History of Artificial Intelligence Chapter 10: Hybrid Intelligent System (II) Answering the public top questions about symbolic artificial intelligence. (III) Real world examples for the usage of symbolic artificial intelligence in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of symbolic artificial intelligence' technologies. 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 symbolic artificial intelligence.

Artificial Intelligence and Symbolic Computation

Artificial Intelligence and Symbolic Computation PDF

Author: John A. Campbell

Publisher: Springer

Published: 2003-06-29

Total Pages: 264

ISBN-13: 3540449906

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This book constitutes the thoroughly refereed post-proceedings of the International Conference on Artificial Intelligence and Symbolic Computation, AISC 2000, held in Madrid, Spain in July 2000. The 17 revised full papers presented together with three invited papers were carefully reviewed and revised for inclusion in the book. Among the topics addressed are automated theorem proving, logical reasoning, mathematical modeling of multi-agent systems, expert systems and machine learning, computational mathematics, engineering, and industrial applications.

Artificial Intelligence and Symbolic Computation

Artificial Intelligence and Symbolic Computation PDF

Author: John A. Campbell

Publisher: Springer

Published: 2001-04-25

Total Pages: 258

ISBN-13: 9783540420712

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This book constitutes the thoroughly refereed post-proceedings of the International Conference on Artificial Intelligence and Symbolic Computation, AISC 2000, held in Madrid, Spain in July 2000. The 17 revised full papers presented together with three invited papers were carefully reviewed and revised for inclusion in the book. Among the topics addressed are automated theorem proving, logical reasoning, mathematical modeling of multi-agent systems, expert systems and machine learning, computational mathematics, engineering, and industrial applications.

Catalogue of Artificial Intelligence Tools

Catalogue of Artificial Intelligence Tools PDF

Author: A. Bundy

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 173

ISBN-13: 3642968686

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The purpose of this catalogue is to promote interaction between members of the AI' community. It will do this by announcing the existence of Ai techniques and portable software. and acting as a pOinter into the literature. Thus the AI community wili have access to a common. extensional definition of the field. which will: promote a common terminology. discourage the reinvention of wheels. and act as a clearing house for ideas and software. The cataiogue is a reference work providing a quick guide to the AI tools available for different jobs. It is not intended to be a textbook like the Artificial Intelligence Handbook. It. intentionally. only provides a brief description of each tool. with no extended discussion of the historical origin of the tool or how it has been used in particular AI programs, The focus is on techniques abstracted from their historical origins. The original version of the catalogue. was hastily built in 1983 as part of the UK SERC-Dol. IKBS. Architecture Study [lKBS Architecture Study 831. it has now been adopted by the SERC Specially Promoted Programme in IKBS and is kept as an on line document undergoing constant revision and refinement and published as a paperback by Springer Verlag.

Artificial Intelligence and Symbolic Mathematical Computing

Artificial Intelligence and Symbolic Mathematical Computing PDF

Author: Jacques Calmet

Publisher: Springer Science & Business Media

Published: 1993-10-05

Total Pages: 324

ISBN-13: 9783540573227

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This volume contains the papers, updated in some cases, presented at the first AISMC (Artificial Intelligence and Symbolic Mathematical Computations)conference, held in Karlsruhe, August 3-6, 1992. This was the first conference to be devoted to such a topic after a long period when SMC made no appearance in AI conferences, though it used to be welcome in the early days of AI. Some conferences were held recently on mathematics and AI, but none was directly comparable in scope to this conference. Because of the novelty of the domain, authors were given longer allocations of time than usual in which to present their work. As a result, extended and fruitful discussions followed each paper. The introductory chapter in this book, which was not presented during the conference, reflects in many ways the flavor of these discussions and aims to set out the framework for future activities in this domain of research. In addition to the introduction, the volume contains 20 papers.

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