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 116
... possible to look ahead as many moves as possible to see what may occur . Of course , as in other problem - solving domains , the role of search can be altered considerably by alter- ing the amount of knowledge that is available to it ...
... possible to look ahead as many moves as possible to see what may occur . Of course , as in other problem - solving domains , the role of search can be altered considerably by alter- ing the amount of knowledge that is available to it ...
Página 152
... possible that the procedure will never terminate , although as we will see , there are often ways of detecting that no contradiction exists . So far , we have discussed only resolution in propositional logic . In predi- cate logic , the ...
... possible that the procedure will never terminate , although as we will see , there are often ways of detecting that no contradiction exists . So far , we have discussed only resolution in propositional logic . In predi- cate logic , the ...
Página 357
... possible FORK labels . Only 8 is now possible . The complete labeling just computed is shown in Figure 10-15 ( d ) . Thus we see that by exploiting constraints on vertex labelings , we have correctly identified vertex 7 as being formed ...
... possible FORK labels . Only 8 is now possible . The complete labeling just computed is shown in Figure 10-15 ( d ) . Thus we see that by exploiting constraints on vertex labelings , we have correctly identified vertex 7 as being formed ...
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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