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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... output . It is possible that , if A is added to B , a stable compound will be formed , so that later addition of C will have no effect ; if C is added to B , however , a different stable compound may be formed , so that later addition ...
... output . It is possible that , if A is added to B , a stable compound will be formed , so that later addition of C will have no effect ; if C is added to B , however , a different stable compound may be formed , so that later addition ...
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... Output of the Match The result of the matching process is a list of rules whose left sides have matched the current state description , along with whatever variable bindings were generated by the matching process . It is the job of the ...
... Output of the Match The result of the matching process is a list of rules whose left sides have matched the current state description , along with whatever variable bindings were generated by the matching process . It is the job of the ...
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... output structure always mirrors the structure of the grammar rules that created it , ATNs allow output structures of arbitrary form . For an example of their use , see [ Simmons , 1973 ] , which describes a system that uses an ATN ...
... output structure always mirrors the structure of the grammar rules that created it , ATNs allow output structures of arbitrary form . For an example of their use , see [ Simmons , 1973 ] , which describes a system that uses an ATN ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY Artificial Intelligence backtracking best-first search branching factor breadth-first search Chapter chess clauses CLEAR(A complete Computer concept conceptual dependency consider constraints contains database described discussed domain example expert systems exploit explore fact frame game tree goal grammar graph heuristic heuristic function important input INTERLISP ISA links John knowledge representation labelings learning LISP machine Marcus match methods minimax move MYCIN natural language node objects ON(B operators parsing particular path performed possible preconditions predicate logic probabilistic problem problem-solving produce production system PROLOG propositional logic question reasoning representing knowledge rules Schank script search procedure search process Section semantic net sentence shown in Figure simple situation slots solution solve specific stack statements step strategy structure successors Suppose syntactic task techniques theorem things tion tree true variety