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 185
6.3.1 Techniques for Dealing with a Random World The mathematical theory of
probability provides a way of describing and manipulating uncertain knowledge .
Sometimes very simple techniques of probability can be used effectively in A.I. ...
6.3.1 Techniques for Dealing with a Random World The mathematical theory of
probability provides a way of describing and manipulating uncertain knowledge .
Sometimes very simple techniques of probability can be used effectively in A.I. ...
Página 186
We are weighting the contribution of each possible outcome by the probability
that it will occur . This simple statistical manipulation allows us to deal effectively
with some degree of uncertainty in our knowledge of the problem state . One of
the ...
We are weighting the contribution of each possible outcome by the probability
that it will occur . This simple statistical manipulation allows us to deal effectively
with some degree of uncertainty in our knowledge of the problem state . One of
the ...
Página 189
One way to do this is to attach a probability to each rule . For example , rule 1
above would say If there is evidence of an organism with properties Xi and Y1
then with probability .7 there is an infection caused by organism Z. The rules can
then ...
One way to do this is to attach a probability to each rule . For example , rule 1
above would say If there is evidence of an organism with properties Xi and Y1
then with probability .7 there is an infection caused by organism Z. The rules can
then ...
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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 |