An Introduction to Artificial Intelligence: Can Computers Think? |
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Page 29
... approximate . The classical approach to solving a nonlinear functional equation is to approximate in function space ... policies . 14. APPROXIMATE POLICY What would be an approximate policy for this particular routing problem ? One type ...
... approximate . The classical approach to solving a nonlinear functional equation is to approximate in function space ... policies . 14. APPROXIMATE POLICY What would be an approximate policy for this particular routing problem ? One type ...
Page 33
... approximate policies . These approximate policies , particularly in artificial intelligence , are called " heuristics . " The determination of these approximate policies is not easy . Often we are DECISION MAKING 33.
... approximate policies . These approximate policies , particularly in artificial intelligence , are called " heuristics . " The determination of these approximate policies is not easy . Often we are DECISION MAKING 33.
Page 56
... policies ? Types of approximate policies are furnished by stochastic approximation and branch - and- bound techniques ; but the best types of approximate policies are fur- nished by experience . We would like to emphasize that there are ...
... policies ? Types of approximate policies are furnished by stochastic approximation and branch - and- bound techniques ; but the best types of approximate policies are fur- nished by experience . We would like to emphasize that there are ...
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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 |