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. |
Dentro del libro
Resultados 1-3 de 57
Página xi
5 Nonlinear Planning Using Constraint Posting . . . . . . . . . . . . . 347 L . 13 . 6
Hierarchical Planning . 354 13 . 7 Reactive Systems . . . . . . . . . . . . . . . . . . . 13 . 8
Other Planning Techniques . . . . 357 13 . 9 Exercises . . . . . . . . . . . . . . . . 356 · 357
14 ...
5 Nonlinear Planning Using Constraint Posting . . . . . . . . . . . . . 347 L . 13 . 6
Hierarchical Planning . 354 13 . 7 Reactive Systems . . . . . . . . . . . . . . . . . . . 13 . 8
Other Planning Techniques . . . . 357 13 . 9 Exercises . . . . . . . . . . . . . . . . 356 · 357
14 ...
Página 49
One way of describing planning is that it is problem solving without feedback from
the environment . For solving certain - outcome problems , this open - loop
approach will work fine since the result of an action can be predicted perfectly .
One way of describing planning is that it is problem solving without feedback from
the environment . For solving certain - outcome problems , this open - loop
approach will work fine since the result of an action can be predicted perfectly .
Página 356
In order for a hierarchical planning system to work with STRIPS - like rules , it
must be told , in addition to the rules themselves , the appropriate criticality value
for each term that may occur in a precondition . Given these values , the basic ...
In order for a hierarchical planning system to work with STRIPS - like rules , it
must be told , in addition to the rules themselves , the appropriate criticality value
for each term that may occur in a precondition . Given these values , the basic ...
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Crítica de los usuarios - Marcar como inadecuado
very poor book for novice.Assumes u already know AI and the language is not at all user friendly.One has to read a sentence repeatedly to get a grasp and some times even then u don't understand.Go for other books much better than this
Crítica de los usuarios - Marcar como inadecuado
not soo good to go for novice
Contenido
2 | 28 |
Heuristic Search Techniques | 63 |
Knowledge Representation Issues | 105 |
Derechos de autor | |
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Términos y frases comunes
actions active addition agents algorithm answer applied approach becomes block build called Chapter choose combined complete concept consider constraints contains corresponding define dependency described determine discussed domain efficient example fact Figure function given goal grammar heuristic human idea 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 present problem problem-solving procedure produce properties question reasoning relation represent representation result robot rules semantic sentence shown in Figure shows simple single situation solution solve space specific step stored structure Suppose task techniques things tree true understanding units usually weights
Referencias a este libro
Human-computer Interaction Alan Dix,Alan John Dix,Janet Finlay,Gregory D. Abowd,Russell Beale Sin vista previa disponible - 2003 |
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 |
| Procedencia del original | Universidad de Michigan |
| Digitalizado | 15 Nov. 2007 |
| ISBN | 0070522634, 9780070522633 |
| Largo | 621 páginas |
| Exportar cita | BiBTeX EndNote RefMan |