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 161
... final step of the process of converting a set of formulas to clause from was to standardize apart the variables that appear in the final clauses . Now that we have discussed the resolution procedure , we can see clearly why this step is ...
... final step of the process of converting a set of formulas to clause from was to standardize apart the variables that appear in the final clauses . Now that we have discussed the resolution procedure , we can see clearly why this step is ...
Página 318
... final state , in which a complete sentence has been found , and an intermediate state , in which only a part of a sentence has been recognized . State Q4 is an example of this . It can either lead to a return out of the network ...
... final state , in which a complete sentence has been found , and an intermediate state , in which only a part of a sentence has been recognized . State Q4 is an example of this . It can either lead to a return out of the network ...
Página 366
... final outcome accurately should be increased while the coefficients of poor predictors should be decreased . In some domains , this is easy to do . If a pattern classification program uses its evaluation function to classify an input ...
... final outcome accurately should be increased while the coefficients of poor predictors should be decreased . In some domains , this is easy to do . If a pattern classification program uses its evaluation function to classify an input ...
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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