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
One of the most useful results of probability theory is Bayes ' theorem , which
provides a way of computing the probability of a particular event given some set
of observations we have made . Let = P ( H ; IE ) P ( EIH ; ) P ( H ; ) the probability
...
One of the most useful results of probability theory is Bayes ' theorem , which
provides a way of computing the probability of a particular event given some set
of observations we have made . Let = P ( H ; IE ) P ( EIH ; ) P ( H ; ) the probability
...
Página 194
This estimate is called the certainty factor ( CF ) and is given as CF [ h , e ] = MB [
h , e ] - MD [ h , e ) Notice that if CF is positive , the system believes that the
hypothesis is true ; if CF is negative , there is more evidence against it and the
system ...
This estimate is called the certainty factor ( CF ) and is given as CF [ h , e ] = MB [
h , e ] - MD [ h , e ) Notice that if CF is positive , the system believes that the
hypothesis is true ; if CF is negative , there is more evidence against it and the
system ...
Página 195
In such a case , the certainty factor of the hypothesis must take into account both
the strength with which the evidence suggests the hypothesis and the level of
confidence in the evidence . Let MB ' [ h , s ] be the measure of belief in h given
that ...
In such a case , the certainty factor of the hypothesis must take into account both
the strength with which the evidence suggests the hypothesis and the level of
confidence in the evidence . Let MB ' [ h , s ] be the measure of belief in h given
that ...
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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 |