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 42
... structure that never backtracks . Such a control structure is easy to implement . Recoverable problems can be solved by a slightly more complicated control strategy that does sometimes make mistakes . Backtracking will be necessary to ...
... structure that never backtracks . Such a control structure is easy to implement . Recoverable problems can be solved by a slightly more complicated control strategy that does sometimes make mistakes . Backtracking will be necessary to ...
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... structure . We then discussed a more special - purpose structure , conceptual dependency , in which specific primitives to be used in building individual representations were defined , as were specific relationships that could occur ...
... structure . We then discussed a more special - purpose structure , conceptual dependency , in which specific primitives to be used in building individual representations were defined , as were specific relationships that could occur ...
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... structure for parsers for case 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 ...
... structure for parsers for case 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 ...
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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