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 xv
In particular , we have tried to present both the theoretical foundations of Al and
an indication of the ways that current techniques can be used in application
programs . As a result of this effort , the book has grown . It is probably no longer
...
In particular , we have tried to present both the theoretical foundations of Al and
an indication of the ways that current techniques can be used in application
programs . As a result of this effort , the book has grown . It is probably no longer
...
Página 232
If we know the prior probabilities of finding each of the various minerals and we
know the probabilities that if a mineral is present then certain physical
characteristics will be observed , then we can use Bayes ' formula to compute ,
from the ...
If we know the prior probabilities of finding each of the various minerals and we
know the probabilities that if a mineral is present then certain physical
characteristics will be observed , then we can use Bayes ' formula to compute ,
from the ...
Página 347
In addition , we wasted a good deal of problemsolving effort producing all the
steps that were later eliminated . It would be better if there were a plan - finding
procedure that could construct efficient plans directly . In the next section , we
present ...
In addition , we wasted a good deal of problemsolving effort producing all the
steps that were later eliminated . It would be better if there were a plan - finding
procedure that could construct efficient plans directly . In the next section , we
present ...
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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 |