Expert systems for experts
This introduction to the design of expert systems is written in an easy-to-read style and offers practical examples for each new topic presented. Emphasis is less on the intracacies of programming language, more on explanation. Defines what expert systems are, and discusses knowledge representation and inference. Chapters also cover logic, two-valued inference, inexact and semi-exact reasoning, advanced tools and topics, and draw on studies of human cognition to motivate technical definitions. Each chapter has an introduction and a summary, and provides suggestions for further reading. Contains student projects.
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application arguments assignment attached predicates automobile backtracking backward chaining backward rule basic behavior binding breadth-first search Broker-A recommends Gold building expert systems certainty factor CF(A Chapter clause concepts conclusion consider contains database deal defined discussed in Section example expert system expert system shell expressed factbase facts and rules Ford Ford Escort forward chaining forward rule fuzzy logic hierarchy human experts hypothesis if-added predicate if-needed predicate inexact reasoning inference engine inheritance instance Investor knowledge acquisition knowledge domain knowledge engineer knowledge representation method knowledge structures knowledge-base language logic programming MYCIN no-backtrack node objects operation organizing Parent perform predicate logic premise probability problem procedure propositional logic prove the goal quantifiers recommends Silver repertory grids represent retrieval selection shown in Figure slot Slot-Name statement succeed t-rules task tion true truth value try to prove uncertainty variable
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Concurrent Engineering: Contemporary Issues and Modern Design Tools
Hamid R. Parsaei
Limited preview - 1993