An Introduction to Artificial Intelligence: Can Computers Think? |
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Page 74
... simple processes , it becomes a matter of recognition of the situation and implementation of the decision . Sometimes these are simple , often not . As a simple example , consider the game of Tic - Tac - Toe , a deterministic process ...
... simple processes , it becomes a matter of recognition of the situation and implementation of the decision . Sometimes these are simple , often not . As a simple example , consider the game of Tic - Tac - Toe , a deterministic process ...
Page 87
... simple and we say , " Is that all there is to it ? " and so on . The mathematical trick here is to find an appropriate state space and then to define what we mean by learning . In our case , we explain learning in terms of a very simple ...
... simple and we say , " Is that all there is to it ? " and so on . The mathematical trick here is to find an appropriate state space and then to define what we mean by learning . In our case , we explain learning in terms of a very simple ...
Page 88
... simple Bayes transformation . We may have to use a more complicated transforma- tion and then we may have to learn about the nature of this more com- plicated transformation . Hence , we can take the simple process above and superimpose ...
... simple Bayes transformation . We may have to use a more complicated transforma- tion and then we may have to learn about the nature of this more com- plicated transformation . Hence , we can take the simple process above and superimpose ...
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actual algorithm analog computer answer applications approach approximate policies arithmetic artificial intelligence assumptions average outcome axioms behavior Bellman BIBLIOGRAPHY AND COMMENTS bility C. P. Smith chapter chess complex concept consider Control Processes criterion function deal dealer determine deterministic difficulty digital computer discussed draw a card drug dynamic programming effect example expected gain experience experimentation fast storage feasible fifteen puzzle foregoing functional equation fuzzy sets human idea important instinct interesting large number learning levels logic machine mathe mathematical analysis mathematical model mathematical problems mathematical theory mathematician matical mean methods minimize multistage decision processes observe operation optimal play optimal policy paradox particular path patient pattern recognition player possible precise priori probability distribution probability theory procedure puter puzzles question reasonable simple situations solve space stochastic approximation stochastic process structure talk tion transformation uncertainty unknown probability York
References to this book
The Bellman Continuum: A Collection of the Works of Richard E. Bellman Richard Ernest Bellman,Robert S. Roth No preview available - 1986 |