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 397
If that also succeeds , then a new constituent corresponding to the value of
BUILD is produced . If there are variables in the value of BUILD that were bound
during the matching of the constituents , then those bindings will be used to build
the ...
If that also succeeds , then a new constituent corresponding to the value of
BUILD is produced . If there are variables in the value of BUILD that were bound
during the matching of the constituents , then those bindings will be used to build
the ...
Página 501
We would like to build these neural masses on a very large scale , and we would
like them to be able to learn efficiently . Perceptrons got us part of the way there ,
but we saw that they were too weak computationally . So we turn to more ...
We would like to build these neural masses on a very large scale , and we would
like them to be able to learn efficiently . Perceptrons got us part of the way there ,
but we saw that they were too weak computationally . So we turn to more ...
Página 582
The Natural Language Group ( 5 ) One to collect sample utterances from the
lightbulb domain One to build an English understanding program for the lightbulb
- changing robot One to build a speech recognition system One to tell lightbulb ...
The Natural Language Group ( 5 ) One to collect sample utterances from the
lightbulb domain One to build an English understanding program for the lightbulb
- changing robot One to build a speech recognition system One to tell lightbulb ...
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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 |