Expert systems: a practical introduction
A concise practical introduction to the history, characteristics, structure, operation, and use of expert systems. Provides programmers with sufficient insight and guidance to enable them to construct an expert system shell using a favorite programming language. Shows how to develp and maintain expert systems, and how to tackle technical problems unique to the field. There's also advice on how to access new applications.
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ailment algorithms allow answer antecedents applications Artificial Intelligence asks the user attribute backchainer backward chainer build expert systems certainty factor chapter chickenpox choice compiler completed(goal completeness computers conclusions condition rule consequents consultation data structures database DENDRAL difficult domain domain-independent Donald Michie establish Eurisko example expert system shell explanation facilities forward chainer function german measles give given goal heuristics human hypothesis impetigo implement important in_mild_or_no_pain in_severe_pain inference inference engine input intelligent artefacts Joshua Lederberg judgement knowledge acquisition knowledge base knowledge engineer knowledge representation machine methods models modus ponens MYCIN Nevertheless obtained parameter patient perform possible practical probability produce programs PROSPECTOR question reason recommendation see_a_doctor_if_it_gets_worse relevant rules representation requirement result rubella rubella german measles rule base scheme scientific semantic semantic networks simple software engineering solve problems specific Spots Advisor subjunctive suffer tackle task techniques Turing complete validation
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