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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... axiom 1 axiom 4 1,4 axiom 3 axiom 7 3,7 axiom 6 8,6,9 OR 7 It is now 1983 5 All Pompeians died in 79 11 All Pompeians are dead now 2 Marcus was a Pompeian 12 Marcus is dead axiom 7 axiom 5 7,5 axiom 2 11,2 Figure 2-11 : Two Ways of ...
... axiom 1 axiom 4 1,4 axiom 3 axiom 7 3,7 axiom 6 8,6,9 OR 7 It is now 1983 5 All Pompeians died in 79 11 All Pompeians are dead now 2 Marcus was a Pompeian 12 Marcus is dead axiom 7 axiom 5 7,5 axiom 2 11,2 Figure 2-11 : Two Ways of ...
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... axioms . So the branching factor is significantly greater going forward from the axioms to the theorems than it is going backward from theorems to axioms . This suggests that it would be much better to reason back- ward when trying to ...
... axioms . So the branching factor is significantly greater going forward from the axioms to the theorems than it is going backward from theorems to axioms . This suggests that it would be much better to reason back- ward when trying to ...
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... Axioms Converted to Clause Form p p ← ( b v d ) r ~ p V ~ q Vr ( s vt ) → q ~ S V q t 12345 1 . 2 . 3 . 4 . 5 . ~ t v q t Figure 5-7 : A Few Facts in Propositional Logic Let's look at a simple example . Suppose we are given the axioms ...
... Axioms Converted to Clause Form p p ← ( b v d ) r ~ p V ~ q Vr ( s vt ) → q ~ S V q t 12345 1 . 2 . 3 . 4 . 5 . ~ t v q t Figure 5-7 : A Few Facts in Propositional Logic Let's look at a simple example . Suppose we are given the axioms ...
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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