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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Elaine Rich. 1 . PP ACT John PTRANS John ran . 2 . 3 . a a a ← ← PA 5 . PP PP PA John height ( average ) John is tall . PP PP John doctor John is a doctor . 4. PP boy A nice boy ↑ nice dog John's dog POSS - BY PP John 6 . O ACT ← PP ...
Elaine Rich. 1 . PP ACT John PTRANS John ran . 2 . 3 . a a a ← ← PA 5 . PP PP PA John height ( average ) John is tall . PP PP John doctor John is a doctor . 4. PP boy A nice boy ↑ nice dog John's dog POSS - BY PP John 6 . O ACT ← PP ...
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... John with a broken nose . The CD representation of the information contained in this sentence is shown in Figure 7 ... John that he ( Bill ) will do some- thing to break John's nose . Bill did so in order that John will believe that if ...
... John with a broken nose . The CD representation of the information contained in this sentence is shown in Figure 7 ... John that he ( Bill ) will do some- thing to break John's nose . Bill did so in order that John will believe that if ...
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... John ate dinner , since the restaurant script could have been activated . Since all of the events in the story correspond to the se- quence of events predicted by the script , the program could infer that the entire sequence predicted ...
... John ate dinner , since the restaurant script could have been activated . Since all of the events in the story correspond to the se- quence of events predicted by the script , the program could infer that the entire sequence predicted ...
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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