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An Introduction to Expert Systems
Artificial Intelligence ProblemSolving Concepts
Knowledge Representation and Formal Logic
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8-gal pail actions Alocation near_bank analysis applied ARMEMPTY artificial intelligence Astate attempt backtracking basic belief breadth-first search clauses CLEAR(B complete component concept conclusion cylinders depth-first search described elements engine error established evaluation example execution Expert System explanation system fact far_bank Figure formal logic formulas frame function fuzzy fuzzy set given goal heuristic identify implementation inference inference engine instantiated knowledge base knowledge engineer knowledge representation Lisp Lisp machines match modify Mycin node observed ONSTATION(B operator OPS5 overall Permaid planning possible preconditions predicate logic predictive maintenance PRINCIPLE prob problem problem-solving procedure production Prolog prototype reasoning process represent response result rule search process selection semantic nets semantic network SETQ shown in Fig solution solve specific strategy structure subgoal subproblems symbol symptoms techniques true truth value typical understanding variable WFFs