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The book presents logical foundations for rule-based systems. An attempt has been made to provide an in-depth discussion of logical and other aspects of such systems, including languages for knowledge representation, inference mechanisms, inference control, design and verification. The ultimate goal was to provide a deeper theoretical insight into the nature of rule-based systems and put together the most complete presentation including details so frequently skipped in typical textbooks. The book may be useful to potentially wide audience, but it is aimed at providing specific knowledge for graduate, post-graduate and Ph.D. students, as well as knowledge engineers and research workers involved in the domain of AI. It also constitutes a summary of the Author’s research and experience gathered through several years of his research work.
This book presents an innovative approach to verifying and validating rule-based expert systems. It features a complete set of techniques and tools that provide a more formal, objective, and automated means of carrying out verification and validation procedures. Many of the concepts behind these procedures have been adapted from conventional software, while others have required that new techniques or tools be created because of the uniqueness of rule-based expert systems. Verification and Validation of Rule-Based Expert Systems is a valuable reference for electrical engineers, software engineers, artificial intelligence experts, and computer scientists involved with object-oriented development, expert systems, and programming languages.
This two-volume set (LNAI 11055 and LNAI 11056) constitutes the refereed proceedings of the 10th International Conference on Collective Intelligence, ICCCI 2018, held in Bristol, UK, in September 2018 The 98 full papers presented were carefully reviewed and selected from 240 submissions. The conference focuses on knowledge engineering and semantic web, social network analysis, recommendation methods and recommender systems, agents and multi-agent systems, text processing and information retrieval, data mining methods and applications, decision support and control systems, sensor networks and internet of things, as well as computer vision techniques.
Artificial Intelligence in Economics and Managemetn to Requirements Engineering
Truth Maintenance Systems to Visual Display Quality
Title Page -- TABLE OF CONTENTS -- Introduction -- Part A: Methodological Aspects -- Evaluation of Automatic Health Information Systems What and How? -- Technology Assessment in Medical and Health Care Informatics: A Clarification of the Concept -- Supporting System Development with Technology Assessment -- The Conceptionof a Medical Computer System -- Verification and Validation -- Case Acquisition for Knowledge-Based Decision Support System Validation -- Approaches to Experimental Design -- Analysis of Costs of Information Systems -- Measuring Effects -- Methods for Data Acquisition -- From Assessment to Decision-Making -- Technology Assessment for Decision-Making in the Field of Informatics in Medicine and Health Care -- Part B: Examples from AIM Projects -- The Impact of Clinical Pilot Projects in R & D Programmes Supported by the EU -- Assessment and Evaluation of Knowledge-Based Expert Systems for Medical Diagnosis -- Evaluation in the TELEGASTRO-Project -- The KANDID Way to ESTEEM -- On the Evaluation of System Integration -- Protocol for the Clinical Functionality Assessment of a Workstation for Stereotactic Neurosurgery -- SAMMIE Software Applied to MultiModal Images and Education -- Technology Assessment in theEurIpacs Project -- Assessment of Workstations and PACS in AIM: The Experience of the MILORD Project -- Part C: Literature Overview -- Overview of Published Assessment and Evaluation Studies -- Literature on Assessment of Information Technology and Medical KBS Evaluation: Studies and Methodologies -- Authors List -- Authors Addresses
Great progresses have been made in the application of fuzzy set theory and fuzzy logic. Most remarkable area of application is 'fuzzy control', where fuzzy logic was first applied to plant control systems and its use is expanding to consumer products. Most of fuzzy control systems uses fuzzy inference with max-min or max-product composition, similar to the algorithm that first used by Mamdani in 1970s. Some algorithms are developed to refine fuzzy controls systems but the main part of algorithm stays the same. Triggered by the success of fuzzy control systems, other ways of applying fuzzy set theory are also investigated. They are usually referred to as 'fuzzy expert sys tems', and their purpose are to combine the idea of fuzzy theory with AI based approach toward knowledge processing. These approaches can be more generally viewed as 'fuzzy information processing', that is to bring fuzzy idea into informa tion processing systems.
This book constitutes the refereed proceedings of the 6th International Conference on Conceptual Structures, ICCS'98, held in Montpellier, France, in August 1998. The 20 revised full papers and 10 research reports presented were carefully selected from a total of 66 submissions; also included are three invited contributions. The volume is divided in topical sections on knowledge representation and knowledge engineering, tools, conceptual graphs and other models, relationships with logics, algorithms and complexity, natural language processing, and applications.
This present volume describes some of the latest advances in the computer science field today. This current volume emphasizes information processing with chapters on artificial intelligence, data bases and software engineering. In particular it looks at the interfaces between AI and software development with chapters on how AI affects the development of correct programs, and conversely, how software engineering can affect the development of correct AI programs.Key Features:* In-depth surveys and tutorials on new computer technology.* Well-known authors and researchers in the field.* Extensive bibliographies with most chapters.* Impact of AI on software development and impact of software development on correct AI programs.* What is the educational role of mathematics in the development of the next generation of computer professional?* In-depth surveys and tutorials on new computer technology.* Well-known authors and researchers in the field.* Extensive bibliographies with most chapters.* Impact of AI on software development and impact of software development on correct AI programs.* What is the educational role of mathematics in the development of the next generation of computer professional?
This book constitutes the refereed proceedings of the 9th International Conference on Conceptual Structures, ICCS 2001, held in Stanford, CA, USA in July/August 2001. The 26 revised full papers presented were carefully reviewed and selected for inclusion in the proceedings. The book offers topical sections on language and knowledge structures, logical and mathematical foundations of conceptual structures, conceptual structures for data and knowledge bases, conceptual structures and meta-data, and algorithms and systems.