This book introduces the process of expert systems development as a model for acquiring, representing and validating knowledge about relatively limited domains. Many examples derive from the authors' own development experiences in the social sciences, both with normative and with descriptive modeling systems. It will be an informative introduction to expert systems for anyone working within the social sciences.
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Edward Brent is a professor in computer science and sociology. He has been at the University of Missouri since 1976 after getting a Ph.D. from the University of Minnesota. His specialty interests are in methodology, statistics and computing.
Introduces the process of expert systems development as a model for acquiring, representing, and validating knowledge about relatively limited domains of human behavior. Drawing examples from both normative and descriptive modeling systems, this innovative volume explores artificial intelligence and expert systems, applications of expert systems in the social sciences, knowledge acquisition, pragmatic strategies, and testing models. "Packed with useful information and includes a listing of commercially available expert system shells and programming languages. Overall, this is a useful and well-written text that will provide expert system developers with practical methods and techniques. It will also serve as enlightening reading for those who have a basic knowledge of artificial intelligence and wish to gain insight into the process of knowledge acquisition." --Social Science Computer Review
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Paperback. Etat : New. Introduces the process of expert systems development as a model for acquiring, representing, and validating knowledge about relatively limited domains of human behavior. Drawing examples from both normative and descriptive modeling systems, this innovative volume explores artificial intelligence and expert systems, applications of expert systems in the social sciences, knowledge acquisition, pragmatic strategies, and testing models. "Packed with useful information and includes a listing of commercially available expert system shells and programming languages. Overall, this is a useful and well-written text that will provide expert system developers with practical methods and techniques. It will also serve as enlightening reading for those who have a basic knowledge of artificial intelligence and wish to gain insight into the process of knowledge acquisition." --Social Science Computer Review. N° de réf. du vendeur LU-9780803940369
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