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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... Grammar Notice that this grammar , rather than containing syntactic nonterminal categories such as NP and VP , uses semantic categories such as SHIP and LOC . A semantic grammar can be used by a parsing system in exactly the ways in ...
... Grammar Notice that this grammar , rather than containing syntactic nonterminal categories such as NP and VP , uses semantic categories such as SHIP and LOC . A semantic grammar can be used by a parsing system in exactly the ways in ...
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... grammar systems . Un- like traditional parsing algorithms in which the output structure always mirrors the structure of the grammar rules that created it , ATNs allow output structures of arbitrary form . For an example of their use ...
... grammar systems . Un- like traditional parsing algorithms in which the output structure always mirrors the structure of the grammar rules that created it , ATNs allow output structures of arbitrary form . For an example of their use ...
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... grammar that recognizes verb phrases involving auxiliary verbs . The grammar should handle such phrases as ⚫ went ⚫ should have gone ⚫ had been going ⚫ would have been going ⚫ would go Do not expect to produce an ATN that can ...
... grammar that recognizes verb phrases involving auxiliary verbs . The grammar should handle such phrases as ⚫ went ⚫ should have gone ⚫ had been going ⚫ would have been going ⚫ would go Do not expect to produce an ATN that can ...
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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