An Introduction to Artificial Intelligence: Can Computers Think? |
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Page 56
... techniques in many cases furnish techniques for finding heuristic policies , approxi- mate policies , that are feasible . Here again is another very interesting problem of a higher level — a problem for intelligent machines but far more ...
... techniques in many cases furnish techniques for finding heuristic policies , approxi- mate policies , that are feasible . Here again is another very interesting problem of a higher level — a problem for intelligent machines but far more ...
Page 63
... technique of applied mathematics . This is a very powerful technique which is available when previous techniques fail for various reasons , as we shall discuss . This technique has many appli- cations . A great deal has been written ...
... technique of applied mathematics . This is a very powerful technique which is available when previous techniques fail for various reasons , as we shall discuss . This technique has many appli- cations . A great deal has been written ...
Page 120
... techniques for stor- ing and retrieving data . It is an understatement to say that it would be worthwhile to know what these are . As mathematicians , we can make some uneducated guesses ( uneducated , that is , as far as neurophysi ...
... techniques for stor- ing and retrieving data . It is an understatement to say that it would be worthwhile to know what these are . As mathematicians , we can make some uneducated guesses ( uneducated , that is , as far as neurophysi ...
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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 |