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 137
... propositional and predicate logic may want to consult a good introductory logic text before reading the rest of this chapter . Readers who want a more complete and formal presentation of the material in this chapter should consult ...
... propositional and predicate logic may want to consult a good introductory logic text before reading the rest of this chapter . Readers who want a more complete and formal presentation of the material in this chapter should consult ...
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... Propositional Logic But very quickly we run up against the limitiations of propositional logic . Suppose we want to represent the obvious fact stated by the classical sentence Socrates is a man . We could write SOCRATESMAN But if we ...
... Propositional Logic But very quickly we run up against the limitiations of propositional logic . Suppose we want to represent the obvious fact stated by the classical sentence Socrates is a man . We could write SOCRATESMAN But if we ...
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Elaine Rich. 5.4.3 Resolution in Propositional Logic In order to make it clear how resolution works , we will first present the resolu- tion procedure for propositional logic . We will then expand it to include predi- cate logic . In ...
Elaine Rich. 5.4.3 Resolution in Propositional Logic In order to make it clear how resolution works , we will first present the resolu- tion procedure for propositional logic . We will then expand it to include predi- cate logic . In ...
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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