Artificial IntelligenceMcGraw-Hill, 1991 - 621 páginas |
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Página 260
... properties that its elements possess . We want to use inheritance to infer those properties from general knowledge about the set . But a class is also an entity in itself . It may possess properties that belong not to the individual ...
... properties that its elements possess . We want to use inheritance to infer those properties from general knowledge about the set . But a class is also an entity in itself . It may possess properties that belong not to the individual ...
Página 262
... properties . In particular , the default information associated with a class can be used as a basis for inferring values for the properties of its individual elements . So there is an advantage to representing as a class those sets for ...
... properties . In particular , the default information associated with a class can be used as a basis for inferring values for the properties of its individual elements . So there is an advantage to representing as a class those sets for ...
Página 293
... properties include things like number - of - legs . Objects tend to inherit their extrinsic properties from IndividualObjects . • Event and Process - An Event is anything with temporal extent , e.g. , Walking . Process is a subclass of ...
... properties include things like number - of - legs . Objects tend to inherit their extrinsic properties from IndividualObjects . • Event and Process - An Event is anything with temporal extent , e.g. , Walking . Process is a subclass of ...
Contenido
5 | 24 |
Heuristic Search Techniques | 63 |
Knowledge Representation Issues | 105 |
Derechos de autor | |
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Términos y frases comunes
Abbott agents algorithm answer apply approach ARMEMPTY assertions attributes axioms backpropagation backtracking backward belief best-first search breadth-first search Caesar called Chapter chess clauses complete concept conceptual dependency consider constraints contains contradiction corresponding define depth-first depth-first search described discussed domain fact frame function game tree goal grammar graph heuristic Horn clauses important inference inheritance input instance interpretation isa links John justification knowledge base knowledge representation labeled learning Marcus match minimax move MYCIN natural language node object ON(B operators output parsing particular path perceptron perform players possible preconditions predicate logic problem problem-solving procedure produce PROLOG properties represent result robot rules script Section semantic semantic net sentence shown in Figure simple slot solution solve specific step structure Suppose syntactic task techniques theorem things tree truth maintenance system understanding variables version space