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 14
The general point here is that defining what it means to produce a correct answer
to a question may be very hard . Usually , question - answering programs define
what it means to be an answer by the procedure that is used to compute the ...
The general point here is that defining what it means to produce a correct answer
to a question may be very hard . Usually , question - answering programs define
what it means to be an answer by the procedure that is used to compute the ...
Página 15
example , if the template “ Who did x y ” matches an input question , then the text
pattern “ x y z ” is matched against the input text and the value of z is given as the
answer to the question . The input text stored simply as a long character string .
example , if the template “ Who did x y ” matches an input question , then the text
pattern “ x y z ” is matched against the input text and the value of z is given as the
answer to the question . The input text stored simply as a long character string .
Página 552
The first question that the user asks is a " WHY " question , which is assumed to
mean “ Why do you need to know that ? ” Particularly for clinical tests that are
either expensive or dangerous , it is important for the doctor to be convinced that
the ...
The first question that the user asks is a " WHY " question , which is assumed to
mean “ Why do you need to know that ? ” Particularly for clinical tests that are
either expensive or dangerous , it is important for the doctor to be convinced that
the ...
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very good
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 |