An Introduction to Artificial Intelligence: Can Computers Think? |
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Page 87
... function for N - 1 . This is an iterative relation that can be deter- mined on a computer . 14. COMPUTATIONAL ... criterion function . When we perform an action , we go from one point in state space to another point in state space . If ...
... function for N - 1 . This is an iterative relation that can be deter- mined on a computer . 14. COMPUTATIONAL ... criterion function . When we perform an action , we go from one point in state space to another point in state space . If ...
Page 123
... function . This is a criterion function that enables the rational individual to single out the most profitable types of behavior . Let us use the symbol p to denote the set of data available to the decision maker , the state variable ...
... function . This is a criterion function that enables the rational individual to single out the most profitable types of behavior . Let us use the symbol p to denote the set of data available to the decision maker , the state variable ...
Page 124
... criterion function where p and q are , as before , the state and decision variables , respectively , and r represents the variable corresponding to the unknown factors . We can then pro- ceed to do the best in the face of the worst by ...
... criterion function where p and q are , as before , the state and decision variables , respectively , and r represents the variable corresponding to the unknown factors . We can then pro- ceed to do the best in the face of the worst by ...
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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 |