Artificial Intelligence, Volumen1McGraw-Hill, 1983 - 436 páginas What 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
... probabilities of the various card distributions . Suppose that the critical things we need to know are which op- ponent has the ace of hearts and how many spades each opponent has . We first compute the probability that each has the ace ...
... probabilities of the various card distributions . Suppose that the critical things we need to know are which op- ponent has the ace of hearts and how many spades each opponent has . We first compute the probability that each has the ace ...
Página 186
... 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 ; | E ) P ( E / H ; ) = P ( H1 ) k = = the probability that ...
... 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 ; | E ) P ( E / H ; ) = P ( H1 ) k = = the probability that ...
Página 189
... probability theory , including simple things such as how to determine the probability of two events both occurring given the independent probabilities of each of them , as well as more complex things such as Bayes ' formula for ...
... probability theory , including simple things such as how to determine the probability of two events both occurring given the independent probabilities of each of them , as well as more complex things such as Bayes ' formula for ...
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addition algorithm already answer appear applied approach appropriate Artificial Intelligence attempt better block called Chapter choose clauses combined complete concept consider contains corresponding dependency described discussed domain example exploit explore fact frame function given goal grammar graph heuristic important indicates initial input interpretation involved John kinds knowledge labelings language learning logic look machine Marcus match means methods move natural necessary node objects occur operators particular path patterns perform position possible predicate present 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 stack statement step stored structure Suppose task techniques things tion tree true understanding variety