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 34
For example , we could pursue a single branch of the tree until it yields a solution
or until some prespecified depth has been reached and only then go back and
explore other branches . This is called depth - first search . The requirement that
a ...
For example , we could pursue a single branch of the tree until it yields a solution
or until some prespecified depth has been reached and only then go back and
explore other branches . This is called depth - first search . The requirement that
a ...
Página 56
Instead of first building the graph explicitly and then searching it , most search
programs represent the graph implicitly in the rules and generate explicitly only
those parts that they decide to explore . Throughout our discussion of search ...
Instead of first building the graph explicitly and then searching it , most search
programs represent the graph implicitly in the rules and generate explicitly only
those parts that they decide to explore . Throughout our discussion of search ...
Página 122
Thus it is not necessary to explore any of the other branches of G . From this
example , we see that at maximizing levels , we can rule out a move early if it
becomes clear that its value will be less than the current threshold , while at
minimizing ...
Thus it is not necessary to explore any of the other branches of G . From this
example , we see that at maximizing levels , we can rule out a move early if it
becomes clear that its value will be less than the current threshold , while at
minimizing ...
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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 |