An Introduction to Artificial Intelligence: Can Computers Think? |
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Page 82
... unknown " means fixed probability . This is a very strong assumption . It may be that unknown doesn't necessarily mean that there is a probability of success . It may well be ( as is the case in Las Vegas ) that as we keep playing this ...
... unknown " means fixed probability . This is a very strong assumption . It may be that unknown doesn't necessarily mean that there is a probability of success . It may well be ( as is the case in Las Vegas ) that as we keep playing this ...
Page 83
... unknown lever . If we have a fixed proba- bility , then with a very high probability we will be able to know whether the known probability is greater than the unknown one or less . If it is less we keep using the known lever for the ...
... unknown lever . If we have a fixed proba- bility , then with a very high probability we will be able to know whether the known probability is greater than the unknown one or less . If it is less we keep using the known lever for the ...
Page 88
... unknown proba- bility distribution , but that the unknown probability has an unknown parameter . Let us give a very simple example of how this could occur . Suppose we have an unknown coin and we do not know what the probability of ...
... unknown proba- bility distribution , but that the unknown probability has an unknown parameter . Let us give a very simple example of how this could occur . Suppose we have an unknown coin and we do not know what the probability of ...
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actual algorithm amount answer applications approach approximation average begin behavior Bellman chapter classical complex concept Consequently consider considerable course criterion deal decision decision process described determine difficulty digital computer discussed distribution Dynamic effect equation essential example exist expected experience fact feasible foregoing function give given hand handle human humor idea important instinct intelligence interesting involved learning levels logic look mathematical mathematical theory mathematician mean methods mind nature observe operation optimal original paradox particular path patient perform play player possible precise present Press probability problem puzzles question reasonable rules simple simulation situations solve space stochastic storage structure success talking techniques theory things tion uncertainty understand universe unknown various wish York