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 , if asked the question " How much is 12,324 times 73,981 ? " , it could wait several minutes and then respond with the wrong answer . The more serious issue , though , is the amount of knowledge that a machine would have to ...
... example , if asked the question " How much is 12,324 times 73,981 ? " , it could wait several minutes and then respond with the wrong answer . The more serious issue , though , is the amount of knowledge that a machine would have to ...
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... example , if the auxiliary verb inter- pretation of have in the previous example is built , it will be discarded if no par- ticiple , such as taken , ever appears . The major disadvantage of this approach is that , because it results in ...
... example , if the auxiliary verb inter- pretation of have in the previous example is built , it will be discarded if no par- ticiple , such as taken , ever appears . The major disadvantage of this approach is that , because it results in ...
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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 ( Bsquared , D , P2 ) . 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 ( Bsquared , D , P2 ) . This example illustrates the way that the ...
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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