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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... Parse Tree for a Sentence The parsing process does two things : • It determines which sentences are accepted as syntactically well - formed ( i.e. grammatical ) and which are not . • For syntactically well - formed sentences , it ...
... Parse Tree for a Sentence The parsing process does two things : • It determines which sentences are accepted as syntactically well - formed ( i.e. grammatical ) and which are not . • For syntactically well - formed sentences , it ...
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... parse tree of a sentence reflects the productions that were applied to generate it . Top - Down versus Bottom - Up Parsing To parse a sentence , it is necessary to find a way in which that sentence could have been generated from the ...
... parse tree of a sentence reflects the productions that were applied to generate it . Top - Down versus Bottom - Up Parsing To parse a sentence , it is necessary to find a way in which that sentence could have been generated from the ...
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... Parsing a sentence into a conceptual dependency representation is similar to the process of parsing using a case grammar . In both systems , the parsing process is heavily driven by a set of expectations that are set up on the basis of ...
... Parsing a sentence into a conceptual dependency representation is similar to the process of parsing using a case grammar . In both systems , the parsing process is heavily driven by a set of expectations that are set up on the basis of ...
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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