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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Página 59
... determining the cause of a patient's illness . To do that , it uses rules that tell it such things as " If the organism has the following set of characteristics as determined by the lab results , then it is likely that it is or- ganism ...
... determining the cause of a patient's illness . To do that , it uses rules that tell it such things as " If the organism has the following set of characteristics as determined by the lab results , then it is likely that it is or- ganism ...
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... determined by the static evaluation function . 2. Otherwise , generate one more ply of the tree by calling MOVEGEN ( POSITION ) and setting SUCCESSORS to the list it returns . 3. If SUCCESSORS is empty , then there are no moves to be ...
... determined by the static evaluation function . 2. Otherwise , generate one more ply of the tree by calling MOVEGEN ( POSITION ) and setting SUCCESSORS to the list it returns . 3. If SUCCESSORS is empty , then there are no moves to be ...
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... determine the category of ORGANISM - 1 . ) • What other information does the system already have that makes it think ... determined the fact to fire . Thus we see that by reasoning backward from its top - level goal and by keeping track ...
... determine the category of ORGANISM - 1 . ) • What other information does the system already have that makes it think ... determined the fact to fire . Thus we see that by reasoning backward from its top - level goal and by keeping track ...
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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