Artificial IntelligenceMcGraw-Hill, 1991 - 621 páginas |
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... representing actions . 4.3.4 Representing Sets of Objects It is important to be able to represent sets of objects for several reasons . One is that there are some properties that are true of sets that are not true of the individual ...
... representing actions . 4.3.4 Representing Sets of Objects It is important to be able to represent sets of objects for several reasons . One is that there are some properties that are true of sets that are not true of the individual ...
Página 132
... represent real - world facts as logical propositions written as well - formed formulas ( wff's ) in propositional ... represent the obvious fact stated by the classical sentence Socrates is a man . We could write : SOCRATESMAN But if we ...
... represent real - world facts as logical propositions written as well - formed formulas ( wff's ) in propositional ... represent the obvious fact stated by the classical sentence Socrates is a man . We could write : SOCRATESMAN But if we ...
Página 254
... represent objects that exist independently of their relationship to each other . But now suppose we want to represent the fact that John is taller than Bill , using the net John HI height Bill height greater - than H2 The nodes H1 and ...
... represent objects that exist independently of their relationship to each other . But now suppose we want to represent the fact that John is taller than Bill , using the net John HI height Bill height greater - than H2 The nodes H1 and ...
Contenido
Weak SlotandFiller Structures | 9 |
6 | 24 |
Heuristic Search Techniques | 63 |
Derechos de autor | |
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Términos y frases comunes
Abbott algorithm answer apply approach Artificial Intelligence assertions attributes axioms backpropagation backtracking backward backward reasoning belief best-first search breadth-first search Cabot Caesar Chapter clauses concept consider constraints contains contexts contradiction corresponding define depth-first depth-first search described discussed domain example explicitly fact given goal graph heuristic heuristic function Horn clauses important inference inheritance input instance interpretation justification knowledge base knowledge representation labeled learning logical assertions Marcus match move MYCIN node nonmonotonic reasoning object operators particular path perceptron possible preconditions predicate logic problem problem-solving procedure produce production system PROLOG propagation propositional logic question represent resolution result robot rules Section semantic semantic net sentence shown in Figure simple slot solution solve space specific statements step strategy structure Suppose suspect syntactic task techniques theorem things tree true truth maintenance system variables wff's