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 448
computer programs , e . g . , database systems , can be said to “ learn ” in this
sense , although most people would not call such simple storage learning .
However , many Al programs are able to improve their performance substantially
through ...
computer programs , e . g . , database systems , can be said to “ learn ” in this
sense , although most people would not call such simple storage learning .
However , many Al programs are able to improve their performance substantially
through ...
Página 483
For a critique of formal learning theory as well as some of the inductive
techniques described in Section 17 . 5 , see Amsterdam ( 1988 ) . 17 . 10 Neural
Net Learning and Genetic Learning The very first efforts in machine learning tried
to mimic ...
For a critique of formal learning theory as well as some of the inductive
techniques described in Section 17 . 5 , see Amsterdam ( 1988 ) . 17 . 10 Neural
Net Learning and Genetic Learning The very first efforts in machine learning tried
to mimic ...
Página 484
Learning from examples - Initial state : collection of positive and negative
examples - Final state : concept description - Search algorithms : candidate
elimination , induction of decision trees • Learning in problem solving - Initial
state : solution ...
Learning from examples - Initial state : collection of positive and negative
examples - Final state : concept description - Search algorithms : candidate
elimination , induction of decision trees • Learning in problem solving - Initial
state : solution ...
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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 |