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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... example , nowhere in our story was the word restaurant mentioned . This is often a very difficult question and there are several ways in which it can be answered . Three important approaches are the following : • Index the structures ...
... example , nowhere in our story was the word restaurant mentioned . This is often a very difficult question and there are several ways in which it can be answered . Three important approaches are the following : • Index the structures ...
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... example of this is shown in the example script . The word class FAMILY contains the words mother , mom , dad , and father . The first input template for the word your shows how the class FAMILY is used . If someone said to ELIZA , " My ...
... example of this is shown in the example script . The word class FAMILY contains the words mother , mom , dad , and father . The first input template for the word your shows how the class FAMILY is used . If someone said to ELIZA , " My ...
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... Example 2 Compute the Discriminant of a Quadratic Equation - discrim ( A , B , C , D ) : - mult ( B , B , Bsquared ) , mult ( A , C , P1 ) , mult ( 4 , P1 , P2 ) , add ( P2 , D , Bsquared ) . This example illustrates the way that the ...
... Example 2 Compute the Discriminant of a Quadratic Equation - discrim ( A , B , C , D ) : - mult ( B , B , Bsquared ) , mult ( A , C , P1 ) , mult ( 4 , P1 , P2 ) , add ( P2 , D , Bsquared ) . This example illustrates the way that the ...
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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