Artificial IntelligenceMcGraw-Hill, 1991 - 621 páginas |
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Página 298
... semantically oriented , although they span a good distance in this spectrum . Semantic nets , as their name implies , are designed to capture semantic relationships among entities , and they are usually employed with a set of inference ...
... semantically oriented , although they span a good distance in this spectrum . Semantic nets , as their name implies , are designed to capture semantic relationships among entities , and they are usually employed with a set of inference ...
Página 411
... semantic pro- cessing system all the information contained in the knowledge base itself . For example , Figure 15.19 contains a description of the semantic information that is associated with the word " want " after applying the semantic ...
... semantic pro- cessing system all the information contained in the knowledge base itself . For example , Figure 15.19 contains a description of the semantic information that is associated with the word " want " after applying the semantic ...
Página 414
... Semantics If we take a compositional approach to semantics , then we apply semantic interpretation rules to each syntactic constituent , eventually producing an interpretation for an entire sentence . But making a commitment about what ...
... Semantics If we take a compositional approach to semantics , then we apply semantic interpretation rules to each syntactic constituent , eventually producing an interpretation for an entire sentence . But making a commitment about what ...
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