Quantitative Applications in the Social Sciences Expert Systems

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. 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