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 71
... usually must be coupled with some special - purpose heuristics that are appropriate for that domain . There are two major ways in which domain - specific , heuristic information can be incorporated into a rule - based search procedure ...
... usually must be coupled with some special - purpose heuristics that are appropriate for that domain . There are two major ways in which domain - specific , heuristic information can be incorporated into a rule - based search procedure ...
Página 115
... usually possible , even with a good plausible - move generator , to search until a goal state is found . The depth of the resulting tree ( or graph ) and its branching factor are too great . In the amount of time available , it is usually ...
... usually possible , even with a good plausible - move generator , to search until a goal state is found . The depth of the resulting tree ( or graph ) and its branching factor are too great . In the amount of time available , it is usually ...
Página 205
... usually be part of many other relations as well . Living thing Isa Isa Plant Animal Isa Isa Isa Isa Pet Livestock Tree Bush Isa Isa Isa Isa Dog Cat Horse Oak Isa Isa Poodle German Shepherd Dog Ispart Ispart Ispart Head Body Appendages ...
... usually be part of many other relations as well . Living thing Isa Isa Plant Animal Isa Isa Isa Isa Pet Livestock Tree Bush Isa Isa Isa Isa Dog Cat Horse Oak Isa Isa Poodle German Shepherd Dog Ispart Ispart Ispart Head Body Appendages ...
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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