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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exist a single , canonical way in which large bodies of knowledge can be
represented independently of how they were originally stated ... 4 Representing
Sets of Objects It is important to be able to represent sets of objects for several
reasons .
exist a single , canonical way in which large bodies of knowledge can be
represented independently of how they were originally stated ... 4 Representing
Sets of Objects It is important to be able to represent sets of objects for several
reasons .
Página 132
1 : Some Simple Facts in Propositional Logic represent real - world facts as
logical propositions written as well - formed formulas ( wff ' s ) in propositional
logic , as shown in Figure 5 . 1 . Using these propositions , we could , for example
...
1 : Some Simple Facts in Propositional Logic represent real - world facts as
logical propositions written as well - formed formulas ( wff ' s ) in propositional
logic , as shown in Figure 5 . 1 . Using these propositions , we could , for example
...
Página 254
3 : A Semantic Net Representing a Sentence could be represented by the
network shown in Figure 9 . 3 . ... Consider the net John Feis 72 Both nodes
represent objects that exist independently of their relationship to each other . But
now ...
3 : A Semantic Net Representing a Sentence could be represented by the
network shown in Figure 9 . 3 . ... Consider the net John Feis 72 Both nodes
represent objects that exist independently of their relationship to each other . But
now ...
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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 |