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 57
18 : A Search Tree for the Water Jug Problem in which they are performed can be
very important in determining the final output . It is possible that if x is added to y ,
a stable compound will be formed , so later addition of z will have no effect ; if z ...
18 : A Search Tree for the Water Jug Problem in which they are performed can be
very important in determining the final output . It is possible that if x is added to y ,
a stable compound will be formed , so later addition of z will have no effect ; if z ...
Página 58
One other issue we should consider at this point is that of search trees versus
search graphs . As mentioned above , we can think of production rules as
generating nodes in a search tree . Each node can be expanded in turn ,
generating a set ...
One other issue we should consider at this point is that of search trees versus
search graphs . As mentioned above , we can think of production rules as
generating nodes in a search tree . Each node can be expanded in turn ,
generating a set ...
Página 471
So how does ID3 actually construct decision trees ? Building a node means
choosing some attribute to test . At a given point in the tree , some attributes will
yield more information than others . For example , testing the attribute color is
useless ...
So how does ID3 actually construct decision trees ? Building a node means
choosing some attribute to test . At a given point in the tree , some attributes will
yield more information than others . For example , testing the attribute color is
useless ...
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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 |