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 39
7 : A Depth - First Search Tree Algorithm : Depth - First Search 1 . If the initial
state is a goal state , quit and return success . 2 . Otherwise , do the following until
success or failure is signaled : ( a ) Generate a successor , E , of the initial state .
7 : A Depth - First Search Tree Algorithm : Depth - First Search 1 . If the initial
state is a goal state , quit and return success . 2 . Otherwise , do the following until
success or failure is signaled : ( a ) Generate a successor , E , of the initial state .
Página 128
We return to it in Chapter 7 . But now let ' s return briefly to the problem of
representing a changing problem state . We could do it by simply starting with a
description of the initial state and then making changes to that description as
indicated ...
We return to it in Chapter 7 . But now let ' s return briefly to the problem of
representing a changing problem state . We could do it by simply starting with a
description of the initial state and then making changes to that description as
indicated ...
Página 338
Detecting a Solution A planning system has succeeded in finding a solution to a
problem when it has found a sequence of operators that transforms the initial
problem state into the goal state . How will it know when this has been done ?
Detecting a Solution A planning system has succeeded in finding a solution to a
problem when it has found a sequence of operators that transforms the initial
problem state into the goal state . How will it know when this has been done ?
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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 |