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 152
... true , then cold must be true to guarantee the truth of the second clause . If winter is true , then summer must be true to guarantee the truth of the first clause . Thus we see that from these two clauses we can deduce summer cold This ...
... true , then cold must be true to guarantee the truth of the second clause . If winter is true , then summer must be true to guarantee the truth of the first clause . Thus we see that from these two clauses we can deduce summer cold This ...
Página 154
... true , one of three things must be true : ~ p , ~ q , or r . But we are assuming that ~ r is true . Given that , the only way for proposition 2 to be true is for one of two things to be true : ~ p or ~ q . That is what the first ...
... true , one of three things must be true : ~ p , ~ q , or r . But we are assuming that ~ r is true . Given that , the only way for proposition 2 to be true is for one of two things to be true : ~ p or ~ q . That is what the first ...
Página 157
... true of all x that man ( x ) if there is known to be some x , say Spot , for which man ( x ) is false . Thus in ... true we can now conclude only that mortal ( Marcus ) must be true . It is not necessary that mortal ( x1 ) be true for ...
... true of all x that man ( x ) if there is known to be some x , say Spot , for which man ( x ) is false . Thus in ... true we can now conclude only that mortal ( Marcus ) must be true . It is not necessary that mortal ( x1 ) be true for ...
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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