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 35
Go to it next . 3 . Repeat step 2 until all cities have been visited . This procedure
executes in time proportional to N squared , a significant improvement over N ! ,
and it is possible to prove an upper bound on the error it incurs ( see Section 3 .
Go to it next . 3 . Repeat step 2 until all cities have been visited . This procedure
executes in time proportional to N squared , a significant improvement over N ! ,
and it is possible to prove an upper bound on the error it incurs ( see Section 3 .
Página 356
the number of theoretically possible labelings becomes much larger than 208 ,
and , in fact , the ratio of physically allowable vertices to theoretically possible
ones becomes even smaller than 18 / 208 . Thus not only can this approach be ...
the number of theoretically possible labelings becomes much larger than 208 ,
and , in fact , the ratio of physically allowable vertices to theoretically possible
ones becomes even smaller than 18 / 208 . Thus not only can this approach be ...
Página 357
Just looking at vertex 7 itself , it would appear that any of the five FORK labelings
is possible . But from the only labeling we found for vertex 2 , we know that the
line between vertices 2 and 7 must be labeled + . This makes sense since it ...
Just looking at vertex 7 itself , it would appear that any of the five FORK labelings
is possible . But from the only labeling we found for vertex 2 , we know that the
line between vertices 2 and 7 must be labeled + . This makes sense since it ...
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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 |