Rule-Based Programming

Rule-Based Programming PDF

Author: Thaddeus J. Kowalski

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 317

ISBN-13: 1461314356

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Rule-Based Programming is a broad presentation of the rule-based programming method with many example programs showing the strengths of the rule-based approach. The rule-based approach has been used extensively in the development of artificial intelligence systems, such as expert systems and machine learning. This rule-based programming technique has been applied in such diverse fields as medical diagnostic systems, insurance and banking systems, as well as automated design and configuration systems. Rule-based programming is also helpful in bridging the semantic gap between an application and a program, allowing domain specialists to understand programs and participate more closely in their development. Over sixty programs are presented and all programs are available from an ftp site. Many of these programs are presented in several versions allowing the reader to see how realistic programs are elaborated from `back of envelope' models. Metaprogramming is also presented as a technique for bridging the `semantic gap'. Rule-Based Programming will be of interest to programmers, systems analysts and other developers of expert systems as well as to researchers and practitioners in artificial intelligence, computer science professionals and educators.

VLSI for Neural Networks and Artificial Intelligence

VLSI for Neural Networks and Artificial Intelligence PDF

Author: Jose G. Delgado-Frias

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 318

ISBN-13: 1489913319

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Neural network and artificial intelligence algorithrns and computing have increased not only in complexity but also in the number of applications. This in turn has posed a tremendous need for a larger computational power that conventional scalar processors may not be able to deliver efficiently. These processors are oriented towards numeric and data manipulations. Due to the neurocomputing requirements (such as non-programming and learning) and the artificial intelligence requirements (such as symbolic manipulation and knowledge representation) a different set of constraints and demands are imposed on the computer architectures/organizations for these applications. Research and development of new computer architectures and VLSI circuits for neural networks and artificial intelligence have been increased in order to meet the new performance requirements. This book presents novel approaches and trends on VLSI implementations of machines for these applications. Papers have been drawn from a number of research communities; the subjects span analog and digital VLSI design, computer design, computer architectures, neurocomputing and artificial intelligence techniques. This book has been organized into four subject areas that cover the two major categories of this book; the areas are: analog circuits for neural networks, digital implementations of neural networks, neural networks on multiprocessor systems and applications, and VLSI machines for artificial intelligence. The topics that are covered in each area are briefly introduced below.

Systematic Introduction to Expert Systems

Systematic Introduction to Expert Systems PDF

Author: Frank Puppe

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 353

ISBN-13: 3642779719

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At present one of the main obstacles to a broader application of expert systems is the lack of a theory to tell us which problem-solving methods areavailable for a given problem class. Such a theory could lead to significant progress in the following central aims of the expert system technique: - Evaluating the technical feasibility of expert system projects: This depends on whether there is a suitable problem-solving method, and if possible a corresponding tool, for the given problem class. - Simplifying knowledge acquisition and maintenance: The problem-solving methods provide direct assistance as interpretation models in knowledge acquisition. Also, they make possible the development of problem-specific expert system tools with graphical knowledge acquisition components, which can be used even by experts without programming experience. - Making use of expert systems as a knowledge medium: The structured knowledge in expert systems can be used not only for problem solving but also for knowledge communication and tutorial purposes. With such a theory in mind, this book provides a systematic introduction to expert systems. It describes the basic knowledge representations and the present situation with regard tothe identification, realization, and integration of problem-solving methods for the main problem classes of expert systems: classification (diagnostics), construction, and simulation.

Rules in Database Systems

Rules in Database Systems PDF

Author: Timos Sellis

Publisher: Springer Science & Business Media

Published: 1995-09-11

Total Pages: 390

ISBN-13: 9783540603658

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This book constitutes the refereed proceedings of the Second International Workshop on Rules in Database Systems, RIDS '95, held in Athens, Greece, in September 1995. The book presents 22 revised full papers selected during a very careful reviewing process from a total of 47 submissions. In addition, there is a detailed invited introduction for a panel discussion on the Active Database Management Systems Manifesto. The papers are organized in sections on semantics for database systems, active behavior, rule base organization and modeling, rule analysis, deductive databases, implementation and benchmarking of active database systems, and cooperative systems support.

Advanced Information Processing in Automatic Control (AIPAC'89)

Advanced Information Processing in Automatic Control (AIPAC'89) PDF

Author: R. Husson

Publisher: Elsevier

Published: 2014-05-23

Total Pages: 573

ISBN-13: 1483294269

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Information Processing is a key area of research and development and the symposium presented state-of-the-art reports on some of the areas which are of relevance in automatic control: fault diagnosis and system reliability. Papers also covered the role of expert systems and other knowledge based systems, which are needed, to cope with the vast quantities of data generated by large scale systems. This volume should be considered essential reading for anyone involved in this rapidly developing area.