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 359
Chapter 14 Understanding 14 . 1 What Is Understanding ? To understand
something is to transform it from one representation into another , where this
second representation has been chosen to correspond to a set of available
actions that ...
Chapter 14 Understanding 14 . 1 What Is Understanding ? To understand
something is to transform it from one representation into another , where this
second representation has been chosen to correspond to a set of available
actions that ...
Página 360
2 What Makes Understanding Hard ? There are four major factors that contribute
to the difficulty of an understanding problem : 1 . The complexity of the target
representation into which the matching is being done 2 . The type of the mapping
...
2 What Makes Understanding Hard ? There are four major factors that contribute
to the difficulty of an understanding problem : 1 . The complexity of the target
representation into which the matching is being done 2 . The type of the mapping
...
Página 367
8 : A Line Drawing with Local Ambiguity Noise in the Input Understanding is the
process of interpreting an input and assigning it meaning . Unfortunately , in
many understanding situations the input to which meaning should be assigned is
not ...
8 : A Line Drawing with Local Ambiguity Noise in the Input Understanding is the
process of interpreting an input and assigning it meaning . Unfortunately , in
many understanding situations the input to which meaning should be assigned is
not ...
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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 |