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Página 359
Chapter 14 Understanding 14 . 1 What Is Understanding ? To understand
something is to transform it from one representation into another , where this
second representation has been chosen to correspond to a set of available
actions that ...
Chapter 14 Understanding 14 . 1 What Is Understanding ? To understand
something is to transform it from one representation into another , where this
second representation has been chosen to correspond to a set of available
actions that ...
Página 367
8 : A Line Drawing with Local Ambiguity Noise in the Input Understanding is the
process of interpreting an input and assigning it meaning . Unfortunately , in
many understanding situations the input to which meaning should be assigned is
not ...
8 : A Line Drawing with Local Ambiguity Noise in the Input Understanding is the
process of interpreting an input and assigning it meaning . Unfortunately , in
many understanding situations the input to which meaning should be assigned is
not ...
Página 379
In Chapter 14 we described some of the issues that arise in speech
understanding , and in Section 21 . 2 . 2 we return to them in more detail . In this
chapter , though , we concentrate on written language processing ( usually called
simply ...
In Chapter 14 we described some of the issues that arise in speech
understanding , and in Section 21 . 2 . 2 we return to them in more detail . In this
chapter , though , we concentrate on written language processing ( usually called
simply ...
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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