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 218
For another example , see Section 11.6 , in which their use by a program [
Winston , 1975a ) that learns structural descriptions of concepts is described .
Reasoning with the knowledge As with any other mechanism for representing
knowledge ...
For another example , see Section 11.6 , in which their use by a program [
Winston , 1975a ) that learns structural descriptions of concepts is described .
Reasoning with the knowledge As with any other mechanism for representing
knowledge ...
Página 383
Another way to derive prime numbers is to use the following two rules : • If there is
a strong analogy between A and B but there is a conjecture about A that does not
hold for all elements of B , define a new concept that includes the elements of ...
Another way to derive prime numbers is to use the following two rules : • If there is
a strong analogy between A and B but there is a conjecture about A that does not
hold for all elements of B , define a new concept that includes the elements of ...
Página 387
Concept learning exploits matching to detect similarities and differences between
instances . o Hill climbing . Parameter adjustment and concept learning are both
varieties of hill climbing . o Generate - and - test . The analogy - learning ...
Concept learning exploits matching to detect similarities and differences between
instances . o Hill climbing . Parameter adjustment and concept learning are both
varieties of hill climbing . o Generate - and - test . The analogy - learning ...
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Contenido
PART ONE PROBLEM SOLVING | 23 |
Basic Problem Solving Methods | 55 |
Game Playing | 113 |
Derechos de autor | |
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Términos y frases comunes
additional algorithm already answer appear applied approach appropriate attempt block called chapter choose clauses combined complete concept consider constraint contains corresponding dependency described determine discussed domain evidence example exploit explore fact frame function given goal grammar graph heuristic important indicates initial input interpretation involved John kinds knowledge known labelings language lead learning logic look match means methods move necessary node objects occur operators particular path performed position possible preconditions predicate present probability problem procedure produce prove question reasoning representation represented result rules satisfied script selected semantic sentence shown in Figure shows simple single situation solution solve space specific statements step stored structure Suppose task techniques things tion tree true understanding 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 |
| ISBN | 0070522618, 9780070522619 |
| Largo | 436 páginas |
| Exportar cita | BiBTeX EndNote RefMan |