Artificial Intelligence |
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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
What Is Artificial Intelligence? | 3 |
Problems Problem Spaces and Search | 29 |
Heuristic Search Techniques | 63 |
Derechos de autor | |
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Términos y frases comunes
active addition agents algorithm allow answer apply approach assertions becomes belief build called Chapter clauses combined complete concept consider consistent constraints contains corresponding define dependency described discussed domain elements example fact Figure function given goal heuristic important 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 predicate present problem procedure produce properties question reasoning relation represent representation result robot rules semantic sentence shown in Figure shows simple single situation slot solution solve space specific statements step stored structure Suppose task techniques things tree true understanding units usually variables weights