Artificial Intelligence, Volumen1McGraw-Hill, 1983 - 436 páginas What is artificial intelligence?; Problem solving; Problems and problem spaces; Basic problem-solving methods; Game playing; Knowledge representation; Knowledge representation using predicate logic; Knowledge representation using other logics; Structured representation of knowledge; Advanced topics; Advanced problem-solving systems; Natural language understanding; Perception; Learning; Implementing A.lI. systems: languages and machines; Conclusion; References; Index. |
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... evidence . The intermediate conclusions that we form this way can then be used to form a variety of later ... evidence of an organism with properties X1 and Yı then there is some evidence that there is an infection caused by organism Z ...
... evidence . The intermediate conclusions that we form this way can then be used to form a variety of later ... evidence of an organism with properties X1 and Yı then there is some evidence that there is an infection caused by organism Z ...
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... evidence we are using in support of a hypothesis . This could easily happen in situations where the evidence is the outcome of an experiment or a laboratory test whose results are not completely accurate . In such a case , the certainty ...
... evidence we are using in support of a hypothesis . This could easily happen in situations where the evidence is the outcome of an experiment or a laboratory test whose results are not completely accurate . In such a case , the certainty ...
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... evidence section . It is a typi- cal MYCIN rule . Since we have a formula for computing the CF of a hypothesis from a set of independent CF's given by individual pieces of evidence , why should the database of rules contain so many of ...
... evidence section . It is a typi- cal MYCIN rule . Since we have a formula for computing the CF of a hypothesis from a set of independent CF's given by individual pieces of evidence , why should the database of rules contain so many of ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY backtracking best-first search blocks world branching factor breadth-first search Caesar Chapter chess clauses CLEAR(A complete concept conceptual dependency consider constraint contains database described discussed domain example expert systems exploit explore fact frame game tree given grammar graph heuristic function important input INTERLISP ISA links John knowledge representation labelings learning LISP Marcus match minimax move MTRANS MYCIN node objects ON(B operators parsing particular path performed possible preconditions predicate logic probabilistic problem problem-solving produce production systems PROLOG propositional logic question reasoning representing knowledge resolution rules satisfied script search procedure search process Section semantic net semantic nets sentence shown in Figure simple situation slots solution solve specific statements step strategy structure successors Suppose syntactic task techniques theorem things tion tree true understanding UNSTACK variable variety vertex