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 135
... knowledge and some mechanisms for manipulating that knowledge to create solutions to new problems . So far we have con- centrated on some very general methods of manipulating knowledge using search . These methods are sufficiently ...
... knowledge and some mechanisms for manipulating that knowledge to create solutions to new problems . So far we have con- centrated on some very general methods of manipulating knowledge using search . These methods are sufficiently ...
Página 202
... knowledge into the database . Ideally , the program itself would be able to control knowledge acquisition . Several techniques for accomplishing these objectives have been developed in A.I. systems . These techniques can roughly be ...
... knowledge into the database . Ideally , the program itself would be able to control knowledge acquisition . Several techniques for accomplishing these objectives have been developed in A.I. systems . These techniques can roughly be ...
Página 329
... knowledge about the world being discussed is required . Programs that can do multiple - sentence understanding rely on large databases of knowledge . The way this knowledge is organized is critical to the success of the understanding ...
... knowledge about the world being discussed is required . Programs that can do multiple - sentence understanding rely on large databases of knowledge . The way this knowledge is organized is critical to the success of the understanding ...
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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