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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... determined . Sometimes only very straightforward information about each word sense is necessary . For example , the baseball field interpretation of diamond could be marked as a LOCATION . Then the correct meaning of diamond in the ...
... determined . Sometimes only very straightforward information about each word sense is necessary . For example , the baseball field interpretation of diamond could be marked as a LOCATION . Then the correct meaning of diamond in the ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY Artificial Intelligence backtracking best-first search blocks world branching factor breadth-first search Caesar Chapter chess clauses CLEAR(A complete concept conceptual dependency consider constraints contains database described discussed domain example exploit explore fact frame game tree goal grammar graph heuristic heuristic function important input INTERLISP ISA links John knowledge representation labelings LISP Marcus match methods minimax move MYCIN natural language necessary 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 understanding variety