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.

presents a unified and in-depth development of neural network learning algorithms and neural network expert systems

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.

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.

R. MILNE Intelligent Applications Ltd The papers in this volume are the Application Papers presented at ES98, the Eighteenth International Conference of the British Computer Society's Specialist Group on Expert Systems. This year has been yet another "applications" success for the conference with this volume containing seventeen papers describing either deployed applications or emerging applications. All these documented case studies provide clear evidence of the success of AI technology in solving real business problems. Six of these papers were nominated for the Best Application Award during the review process. These nominations were then reviewed by the members of the Programme Committee to select the winning paper. The papers in the volume were subject to refereeing by at least two referees. All papers which were controversial for some reason were discussed in depth by the Application Programme Committee. Ten referees from the industrial and commercial sector and nine referees from the academic sector assisted me in reviewing the papers. The review form asked the referee to score the papers according to a number of dimensions, to rate it overall, and to offer critical comments to me, and to the authors. It also asks the referee to score their expertise in the area of each paper they review. Only reviews from 'expert' referees are used.

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.

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.