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 239
... exploit specific knowledge about what they contain . Similarly , although scripts appear very similar to frames , they are frames in which the slots have been care- fully chosen to represent the information that is useful when reasoning ...
... exploit specific knowledge about what they contain . Similarly , although scripts appear very similar to frames , they are frames in which the slots have been care- fully chosen to represent the information that is useful when reasoning ...
Página 242
... exploit inference mechanisms that are highly uniform . Logic - based systems can exploit a large collection of heuristics to improve performance . The important point , in choos- ing a representation for a particular problem , is to ...
... exploit inference mechanisms that are highly uniform . Logic - based systems can exploit a large collection of heuristics to improve performance . The important point , in choos- ing a representation for a particular problem , is to ...
Página 387
... exploit sets of heuristic rules . One interesting observation that can be made here is that some heuristics appear to have a very wide range of ap- plicability . Both AM and the analogy system exploited a heuristic based on the use of ...
... exploit sets of heuristic rules . One interesting observation that can be made here is that some heuristics appear to have a very wide range of ap- plicability . Both AM and the analogy system exploited a heuristic based on the use of ...
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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