Systematic Introduction to Expert Systems
Systematic Introduction to Expert Systems

Author: Frank Puppe

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 353

ISBN-13: 3642779719

DOWNLOAD EBOOK

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.

Introduction to Expert Systems
Introduction to Expert Systems

Author: Peter Jackson

Publisher: Addison Wesley Publishing Company

Published: 1990

Total Pages: 552

ISBN-13:

DOWNLOAD EBOOK

The most popular basic introduction to Expert Systems is revised and updated to include new information on blackboard systems and has extended coverage of reasoning.

Expert Systems and Probabilistic Network Models
Expert Systems and Probabilistic Network Models

Author: Enrique Castillo

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 612

ISBN-13: 1461222702

DOWNLOAD EBOOK

Artificial intelligence and expert systems have seen a great deal of research in recent years, much of which has been devoted to methods for incorporating uncertainty into models. This book is devoted to providing a thorough and up-to-date survey of this field for researchers and students.

Logic Versus Approximation
Logic Versus Approximation

Author: Wolfgang Lenski (Ed )

Publisher: Springer Science & Business Media

Published: 2004-10-27

Total Pages: 212

ISBN-13: 3540225625

DOWNLOAD EBOOK

Nowadays knowledge-based systems research and development essentially employs two paradigms of reasoning. There are on the one hand the logic-based approaches where logic is to be understood in a rather broad sense; usually these approaches are used in symbolic domains where numerical calculations are not the core challenge. On the other hand we find approximation oriented reasoning; methods of these kinds are mainly applied in numerical domains where approximation is part of the scientific methodology itself. However, from an abstract level all these approaches do focus on similar topics and arise on various levels such as problem modeling, inference and problem solving techniques, algorithms and mathematical methods, mathematical relations between discrete and continuous properties, and are integrated in tools and applications. In accordance with the unifying vision and research interest of Michael M. Richter and in correspondence to his scientific work, this book presents 13 revised full papers advocating the integration of logic-based and approximation-oriented approaches in knowledge processing.

Information Systems Development
Information Systems Development

Author: Chris Barry

Publisher: Springer Science & Business Media

Published: 2008-12-16

Total Pages: 584

ISBN-13: 0387785787

DOWNLOAD EBOOK

Information Systems Development (ISD) progresses rapidly, continually creating new challenges for the professionals involved. New concepts, approaches and techniques of systems development emerge constantly in this field. Progress in ISD comes from research as well as from practice. This conference will discuss issues pertaining to information systems development (ISD) in the inter-networked digital economy. Participants will include researchers, both experienced and novice, from industry and academia, as well as students and practitioners. Themes will include methods and approaches for ISD; ISD education; philosophical, ethical, and sociological aspects of ISD; as well as specialized tracks such as: distributed software development, ISD and knowledge management, ISD and electronic business / electronic government, ISD in public sector organizations, IOS.

Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems
Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems

Author: Mar Marcos

Publisher: Springer Nature

Published: 2020-01-03

Total Pages: 184

ISBN-13: 3030374467

DOWNLOAD EBOOK

This book constitutes revised selected papers from the AIME 2019 workshops KR4HC/ProHealth 2019, the Workshop on Knowledge Representation for Health Care and Process-Oriented Information Systems in Health Care, and TEAAM 2019, the Workshop on Transparent, Explainable and Affective AI in Medical Systems. The volume contains 5 full papers from KR4HC/ProHealth, which were selected out of 13 submissions. For TEAAM 8 papers out of 10 submissions were accepted for publication.

Advances in Knowledge Acquisition
Advances in Knowledge Acquisition

Author: Nigel Shadbolt

Publisher: Springer Science & Business Media

Published: 1996-04-26

Total Pages: 392

ISBN-13: 9783540612735

DOWNLOAD EBOOK

This book presents the refereed proceedings of the 9th European Knowledge Acquisition Workshop, EKAW '96, held in Nottingham, UK, in May 1996. The 23 revised full papers included address the most relevant theoretical and applicational aspects of knowledge acquisition with a certain emphasis on the acquisition of knowledge for the modelling or automation of complex problem-solving behaviour. The volume is organized in sections on theoretical and general issues, eliciting knowledge from textual or other sources, data-mining, group elicitation, and planning.

Case-Based Approximate Reasoning
Case-Based Approximate Reasoning

Author: Eyke Hüllermeier

Publisher: Springer Science & Business Media

Published: 2007-03-20

Total Pages: 384

ISBN-13: 1402056958

DOWNLOAD EBOOK

Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR. The case-based approximate reasoning methods thus obtained especially emphasize the heuristic nature of case-based inference and aspects of uncertainty in CBR.