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 115
... piece advantage was proposed by Turing for chess - simply add the values of black's pieces ( B ) , the values of white's pieces ( W ) , and then compute the quotient W / B . A more sophisticated approach was that taken in Samuel's check ...
... piece advantage was proposed by Turing for chess - simply add the values of black's pieces ( B ) , the values of white's pieces ( W ) , and then compute the quotient W / B . A more sophisticated approach was that taken in Samuel's check ...
Página 196
... pieces of evidence , why should the database of rules contain so many of these complex rules ? Why not use only simple rules for each of the elementary pieces of evidence and let the formula combine them ? The answer harks back to one ...
... pieces of evidence , why should the database of rules contain so many of these complex rules ? Why not use only simple rules for each of the elementary pieces of evidence and let the formula combine them ? The answer harks back to one ...
Página 247
... pieces and to solve those pieces separately , to the extent that that is possible . Then the separate pieces must be combined to form a single consistent solution to the original problem . In this chapter , we will discuss ways in which ...
... pieces and to solve those pieces separately , to the extent that that is possible . Then the separate pieces must be combined to form a single consistent solution to the original problem . In this chapter , we will discuss ways in which ...
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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