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 19
Thus we see that although extracting a structured representation of the meaning
of the input text is an improvement over the meaning - free approach of Program
1 , it is by no means sufficient in general . So we need to look at an even more ...
Thus we see that although extracting a structured representation of the meaning
of the input text is an improvement over the meaning - free approach of Program
1 , it is by no means sufficient in general . So we need to look at an even more ...
Página 504
The network adjusts its weights each time it sees an input - output pair . Each pair
requires two stages : a forward pass and a backward pass . The forward pass
involves presenting a sample input to the network and letting activations flow until
...
The network adjusts its weights each time it sees an input - output pair . Each pair
requires two stages : a forward pass and a backward pass . The forward pass
involves presenting a sample input to the network and letting activations flow until
...
Página 512
output units OOOOOO input units input units has - hair ? / has - feathers ? | lives -
in - water ? has - scales ? flies ? lays - eggs ? Figure 18 . 19 : A Competitive
Learning Network dampen its competitors . As a result , the competitors will
become ...
output units OOOOOO input units input units has - hair ? / has - feathers ? | lives -
in - water ? has - scales ? flies ? lays - eggs ? Figure 18 . 19 : A Competitive
Learning Network dampen its competitors . As a result , the competitors will
become ...
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Contenido
Problems Problem Spaces and Search | 29 |
7 | 61 |
Knowledge Representation Issues | 105 |
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 choose 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
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 |