Artificial IntelligenceThe breadth of A. I. is explored and explained in this best selling text. Assuming no prior knowledge,it covers topics like neural networks and robotics. This text explores the range of problems which have been and remain to be solved using A. I. tools and techniques. The second half of this text is an excellent reference. |
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Página 260
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 instances but rather to the class as a whole . In the
case ...
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 instances but rather to the class as a whole . In the
case ...
Página 293
Intrinsic versus Extrinsic properties — A property is intrinsic if when an object has
that property all parts of the object also have that property . For example , color is
an intrinsic property . Objects tend to inherit their intrinsic properties from ...
Intrinsic versus Extrinsic properties — A property is intrinsic if when an object has
that property all parts of the object also have that property . For example , color is
an intrinsic property . Objects tend to inherit their intrinsic properties from ...
Página 536
We then group objects into classes whose members are indistinguishable from
each other as far as their relevant properties go . For example , as we drive along
a highway , our major relevant property might be DISTANCE - TO - GOAL .
We then group objects into classes whose members are indistinguishable from
each other as far as their relevant properties go . For example , as we drive along
a highway , our major relevant property might be DISTANCE - TO - GOAL .
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Contenido
8 | 231 |
Expert Systems | 233 |
Weak SlotandFiller Structures | 251 |
Derechos de autor | |
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Términos y frases comunes
actions active addition agents algorithm allow answer applied approach attributes becomes belief block build called Chapter choose combined complete concept consider constraints contains corresponding define dependency described discussed domain efficient elements example fact Figure frame function given goal heuristic important inheritance initial input instance interpretation John kinds knowledge knowledge base labeled language learning logic look match meaning methods move natural necessary node object occur operators output particular path perform position possible preconditions predicate problem procedure produce properties question reasoning relation represent representation result rules semantic sentence shown in Figure shows simple single situation slot solution solve space specific step stored structure Suppose task techniques things tree true understanding units weights
Información bibliográfica
| Título | Artificial Intelligence Artificial Intelligence Series Mac Graw-Hill series in artificial inteligence |
| Autores | Elaine Rich, Kevin Knight, Knight Kevin |
| Edición | 2, ilustrada |
| Editor | McGraw-Hill, 1991 |
| ISBN | 0070522634, 9780070522633 |
| Largo | 621 páginas |
| Exportar cita | BiBTeX EndNote RefMan |