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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... involved and only move up the chain toward more general concepts if the specific information is absent . For example , although most mammals bear their young live , the platypus lays eggs . For many problems , this simple solution to ...
... involved and only move up the chain toward more general concepts if the specific information is absent . For example , although most mammals bear their young live , the platypus lays eggs . For many problems , this simple solution to ...
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... involved in the events described in the script . The presence of these objects can be inferred even if they are not mentioned explicitly . Slots representing people who are involved in the events described in the script . The presence ...
... involved in the events described in the script . The presence of these objects can be inferred even if they are not mentioned explicitly . Slots representing people who are involved in the events described in the script . The presence ...
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... involved : Interestingness factor of " Divisors - of " raised from 300 to 400 . with - 2 - divisors " raised from 100 to 600 . with - 3 - divisors " raised from 200 to 700 . Interestingness factor of " Numbers- Interestingness factor of ...
... involved : Interestingness factor of " Divisors - of " raised from 300 to 400 . with - 2 - divisors " raised from 100 to 600 . with - 3 - divisors " raised from 200 to 700 . Interestingness factor of " Numbers- Interestingness factor of ...
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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