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 55
Instead , if we analyze our problems carefully and sort our problem - solving
methods by the kinds of problems for which they are suitable , we will be able to
bring to each new problem much of what we have learned from solving other ,
similar ...
Instead , if we analyze our problems carefully and sort our problem - solving
methods by the kinds of problems for which they are suitable , we will be able to
bring to each new problem much of what we have learned from solving other ,
similar ...
Página 94
The second kind are more complex ; they describe relationships between or
among objects . Both kinds of constraints play the same role in the constraint
satisfaction process , and in the cryptarithmetic example they were treated
identically .
The second kind are more complex ; they describe relationships between or
among objects . Both kinds of constraints play the same role in the constraint
satisfaction process , and in the cryptarithmetic example they were treated
identically .
Página 247
6 Summary In this chapter we have shown that Bayesian statistics provide a good
basis for reasoning under various kinds of uncertainty . We have also , though ,
talked about its weaknesses in complex real tasks , and so we have talked about
...
6 Summary In this chapter we have shown that Bayesian statistics provide a good
basis for reasoning under various kinds of uncertainty . We have also , though ,
talked about its weaknesses in complex real tasks , and so we have talked about
...
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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 |