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This volume contains the refereed and invited papers from the eleventh annual conference of the British Computer Society's Specialist Group on Expert Systems, held in London in September 1991.
Contains papers presented at "Expert Systems 88", the eighth annual conference of the British Computer Society Specialist Group on Expert Systems, held in Brighton in December 1988. Covers many aspects of current work, in particular, theoretical topics, practical techniques and real applications of expert systems (a wide spectrum of commercial and industrial interest). The theme of the 1988 conference was "integrating with mainstream software development." No index. Annotation copyrighted by Book News, Inc., Portland, OR
This volume contains the refereed and invited papers presented at Expert Systems 90, the tenth annual conference of the British Computer Society's Specialist Group on Expert Systems, held in London in September 1990. The theme of the conference,"Business Benefits of Expert Systems," is particularly pertinent, as expert systems mature and begin to be applied in a much wider range of settings. This year three issues in particular were examined: cybernetics, databases, and programming languages. They reflect the ubiquity of expert systems and show how these methods are helping to expand other areas of technology. This is the seventh volume in the conference series, "Research and Development in Expert Systems," and is essential reading for those working in expert systems and artificial intelligence who wish to keep up to date with developments and opportunities in these important fields.
The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it.
Introduces the concept of expert systems development as a model for the acquisition, representation and validation of knowledge about relatively limited domains. Case studies derive from the authors' own development experiences in the social sciences.
presents a unified and in-depth development of neural network learning algorithms and neural network expert systems
Expert systems allow scientists to access, manage, and apply data and specialized knowledge from various disciplines to their own research. Expert Systems in Chemistry Research explains the general scientific basis and computational principles behind expert systems and demonstrates how they can improve the efficiency of scientific workflows
Presents a step-by-step methodology for designing expert systems. Each chapter on design methodology starts with a problem and leads the reader through the design of a system which solves that problem.
Before the integration of expert systems in biomedical science, complex problems required human expertise to solve them through conventional procedural methods. Advancements in expert systems allow for knowledge to be extracted when no human expertise is available and increases productivity through quick diagnosis. Expert System Techniques in Biomedical Science Practice is an essential scholarly resource that contains innovative research on the methods by which an expert system is designed to solve complex problems through the automation of decision making through the use of if-then-else rules rather than conventional procedural methods. Featuring coverage on a broad range of topics such as image processing, bio-signals, and cognitive AI, this book is a vital reference source for computer engineers, information technologists, biomedical engineers, data-processing specialists, medical professionals, and industrialists within the fields of biomedical engineering, pervasive computing, and natural language processing.
Second Generation Expert Systems have been a very active field of research during the last years. Much work has been carried out to overcome drawbacks of first generation expert systems. This book presents an overview and new contributions from people who have played a major role in this evolution. It is divided in several sections that cover the main topics of the subject: - Combining Multiple Reasoning Paradigms - Knowledge Level Modelling - Knowledge Acquisition in Second Generation Expert Systems - Explanation of Reasoning - Architectures for Second Generation Expert Systems. This book can serve as a reference book for researchers and students and will also be an invaluable help for practitioners involved in KBS developments.