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 265
It maps from elements of its domain ( the classes for which it makes sense ) to
elements of its range ( its possible values ) . A relation is a set of ordered pairs .
Thus it makes sense to say that one relation ( R1 ) is a subset of another ( R2 ) .
It maps from elements of its domain ( the classes for which it makes sense ) to
elements of its range ( its possible values ) . A relation is a set of ordered pairs .
Thus it makes sense to say that one relation ( R1 ) is a subset of another ( R2 ) .
Página 473
During the first step , the domain theory is used to prune away all the unimportant
aspects of the training example with respect to the goal concept . What is left is an
explanation of why the training example is an instance of the goal concept .
During the first step , the domain theory is used to prune away all the unimportant
aspects of the training example with respect to the goal concept . What is left is an
explanation of why the training example is an instance of the goal concept .
Página 547
To solve expert - level problems , expert systems need access to a substantial
domain knowledge base , which must be built as efficiently as possible . They
also need to exploit one or more reasoning mechanisms to apply their
knowledge to ...
To solve expert - level problems , expert systems need access to a substantial
domain knowledge base , which must be built as efficiently as possible . They
also need to exploit one or more reasoning mechanisms to apply their
knowledge to ...
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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 |