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 329
However , for more complicated problem domains , it becomes important to be
able to work on small pieces of a problem separately and then to combine the
partial solutions at the end into a complete problem solution . Unless we can do
this ...
However , for more complicated problem domains , it becomes important to be
able to work on small pieces of a problem separately and then to combine the
partial solutions at the end into a complete problem solution . Unless we can do
this ...
Página 400
Unfortunately , to solve the lexical disambiguation problem completely , it
becomes necessary to introduce more and more finely grained semantic markers
. For example , to interpret the sentence about Susan ' s diamond correctly , we
must ...
Unfortunately , to solve the lexical disambiguation problem completely , it
becomes necessary to introduce more and more finely grained semantic markers
. For example , to interpret the sentence about Susan ' s diamond correctly , we
must ...
Página 528
If a cell is dead , it becomes living only if it is surrounded by exactly three living
cells . Otherwise , it remains dead . For example : → cell becomes dead → cell
stays living → cell stays dead → cell becomes living ( a ) Create input - output
pairs ...
If a cell is dead , it becomes living only if it is surrounded by exactly three living
cells . Otherwise , it remains dead . For example : → cell becomes dead → cell
stays living → cell stays dead → cell becomes living ( a ) Create input - output
pairs ...
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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 |