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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... INTERLISP , is suf- ficiently different from most of the others that it is worth mentioning . INTERLISP has all of the capabilities of basic LISP . In addition , it has a collection of other features that facilitate the construction of ...
... INTERLISP , is suf- ficiently different from most of the others that it is worth mentioning . INTERLISP has all of the capabilities of basic LISP . In addition , it has a collection of other features that facilitate the construction of ...
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... INTERLISP o PROLOG : lists and records • Other Data Types O LISP :。 INTERLISP : many o SAIL : link to assembly language ; many built - in types O PLANNER : o KRL : INTERLISP O PROLOG : • Decomposability into Easy - to - Change Pieces O ...
... INTERLISP o PROLOG : lists and records • Other Data Types O LISP :。 INTERLISP : many o SAIL : link to assembly language ; many built - in types O PLANNER : o KRL : INTERLISP O PROLOG : • Decomposability into Easy - to - Change Pieces O ...
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... INTERLISP : yes O SAIL : no 。 PLANNER : yes o KRL : yes O PROLOG : yes • Pattern Matching for Data and Control O LISP :。 INTERLISP : • SAIL : FOREACH statement for selecting appropriate objects from sets o PLANNER : simple patterns ...
... INTERLISP : yes O SAIL : no 。 PLANNER : yes o KRL : yes O PROLOG : yes • Pattern Matching for Data and Control O LISP :。 INTERLISP : • SAIL : FOREACH statement for selecting appropriate objects from sets o PLANNER : simple patterns ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY Artificial Intelligence backtracking best-first search blocks world branching factor breadth-first search Caesar Chapter chess clauses CLEAR(A complete concept conceptual dependency consider constraints contains database described discussed domain example exploit explore fact frame game tree goal grammar graph heuristic heuristic function important input INTERLISP ISA links John knowledge representation labelings LISP Marcus match methods minimax move MYCIN natural language necessary 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 understanding variety