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 188
... variety of conclusions . Combining all the facts algebraically to form a single conclu- sion , such as how likely a board position is to lead to a win , can be a very efficient thing to do if we are interested only in that single ...
... variety of conclusions . Combining all the facts algebraically to form a single conclu- sion , such as how likely a board position is to lead to a win , can be a very efficient thing to do if we are interested only in that single ...
Página 222
... variety of other uses besides their ability to encode quantification . Some of these will be discussed in Chapter 9 , since they arise in the process of natural language understanding . Semantic nets have been widely used to represent a ...
... variety of other uses besides their ability to encode quantification . Some of these will be discussed in Chapter 9 , since they arise in the process of natural language understanding . Semantic nets have been widely used to represent a ...
Página 277
... variety of systems . These include : • Triangle tables [ Fikes , 1972 ; Nilsson , 1980 ] -provide a way of recording the goals that each operator is expected to satisfy as well as the goals that must be true for it to execute correctly ...
... variety of systems . These include : • Triangle tables [ Fikes , 1972 ; Nilsson , 1980 ] -provide a way of recording the goals that each operator is expected to satisfy as well as the goals that must be true for it to execute correctly ...
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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