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 237
... Consider , for example , the following story : John went out to lunch . He sat down at a table and called the waitress . The waitress brought him a menu and he ordered a ham- burger . Now consider the question Why did the waitress bring ...
... Consider , for example , the following story : John went out to lunch . He sat down at a table and called the waitress . The waitress brought him a menu and he ordered a ham- burger . Now consider the question Why did the waitress bring ...
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... consider in choosing ap- propriate people for each post . You do not want to consider all possible pairs of people . Instead , you want to break this problem into two independent sub- problems . But the problems are not really ...
... consider in choosing ap- propriate people for each post . You do not want to consider all possible pairs of people . Instead , you want to break this problem into two independent sub- problems . But the problems are not really ...
Página 369
... consider a problem - solving system that contains the following production rule : the current goal is to get from place A to place B , and there is a WALL separating the two places If : then look for a DOORWAY in the WALL and go through ...
... consider a problem - solving system that contains the following production rule : the current goal is to get from place A to place B , and there is a WALL separating the two places If : then look for a DOORWAY in the WALL and go through ...
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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