Artificial Intelligence, Volumen1What is artificial intelligence?; Problem solving; Problems and problem spaces; Basic problem-solving methods; Game playing; Knowledge representation; Knowledge representation using predicate logic; Knowledge representation using other logics; Structured representation of knowledge; Advanced topics; Advanced problem-solving systems; Natural language understanding; Perception; Learning; Implementing A.lI. systems: languages and machines; Conclusion; References; Index. |
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Página 186
If we know the prior probabilities of finding each of the various minerals and we
know the probabilities that if a mineral is present then certain physical
characteristics will be observed , then we can use Bayes ' formula to compute ,
from the ...
If we know the prior probabilities of finding each of the various minerals and we
know the probabilities that if a mineral is present then certain physical
characteristics will be observed , then we can use Bayes ' formula to compute ,
from the ...
Página 189
In the next section , we will present a specific method for combining rules that has
many of the advantages of a straightforward probabilistic scheme such as this ,
as well as fewer of the disadvantages . Having just argued the merits of using a ...
In the next section , we will present a specific method for combining rules that has
many of the advantages of a straightforward probabilistic scheme such as this ,
as well as fewer of the disadvantages . Having just argued the merits of using a ...
Página 385
The next rule would select the slot LADDER - HEIGHT , since that slot is not
present in the frames for other types of VEHICLES . 4 . The next rule would select
the slot COLOR , since no other VEHICLES have COLOR equal to RED . 5 . The
last ...
The next rule would select the slot LADDER - HEIGHT , since that slot is not
present in the frames for other types of VEHICLES . 4 . The next rule would select
the slot COLOR , since no other VEHICLES have COLOR equal to RED . 5 . The
last ...
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Contenido
PART ONE PROBLEM SOLVING | 23 |
Basic Problem Solving Methods | 55 |
Chapter 7 | 103 |
Derechos de autor | |
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Términos y frases comunes
additional algorithm already answer appear applied approach appropriate attempt better block called Chapter choose clauses combined complete concept consider contains dependency described determine discussed domain example exists exploit explore fact Figure frame function given goal graph heuristic important indicates input interpretation involved John kinds knowledge known labelings language learning logic look Marcus match means methods move necessary node objects occur operators particular path performed play position possible predicate present problem procedure produce proof prove question reasoning representation represented resolution result rules satisfy semantic sentence shown in Figure shows simple single situation solution solve space specific statements step structure substitution Suppose task techniques theorem things tion tree true understanding variable variety
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, Volumen1 Artificial Intelligence International student edition International student edition: MacGraw-Hill McGraw-Hill computer science series McGraw-Hill international editions McGraw-Hill series in artificial intelligence Synthesis lectures on computer science |
| Autores | Elaine Rich, Rich Elaine |
| Edición | 6, ilustrada, reimpresa |
| Editor | McGraw-Hill, 1983 |
| Procedencia del original | Universidad de Michigan |
| Digitalizado | 15 Nov. 2007 |
| ISBN | 0070522618, 9780070522619 |
| Largo | 436 páginas |
| Exportar cita | BiBTeX EndNote RefMan |