An Introduction to Artificial Intelligence: Can Computers Think? |
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Page 74
... complex situa- tions there is a large set of feasible policies which for all practical purposes have outcomes that are indistinguishable . This blurring of fine detail is what makes the operation of large complex systems possible . Very ...
... complex situa- tions there is a large set of feasible policies which for all practical purposes have outcomes that are indistinguishable . This blurring of fine detail is what makes the operation of large complex systems possible . Very ...
Page 75
... complex actions and to cope with genuine complexity is not well understood at the present time . We do observe , however , that this learning process occurs . For our purposes , then , we shall accept the fact that experience is a good ...
... complex actions and to cope with genuine complexity is not well understood at the present time . We do observe , however , that this learning process occurs . For our purposes , then , we shall accept the fact that experience is a good ...
Page 113
... complex . What we call reality is con- stantly surprising us . As scientists we would prefer in some ways the universe to be simple . We would like the observed regularities to cover all cases . As has been pointed out , not only is the ...
... complex . What we call reality is con- stantly surprising us . As scientists we would prefer in some ways the universe to be simple . We would like the observed regularities to cover all cases . As has been pointed out , not only is the ...
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Common terms and phrases
Academic Press algorithm analog computer analysis answer applications approach approximate policies arithmetic artificial intelligence axioms Bellman BIBLIOGRAPHY AND COMMENTS bility calculus of variations chapter chess COMMENTS Section complex concept consider Control Processes criterion function deal dealer determine device difficulty digital computer discussed dynamic programming effect example experience fast storage feasible fifteen puzzle foregoing functional equation fuzzy human humor idea important instinct interesting involved large number learning levels lever logic machine mathe mathematical analysis mathematical problems mathematical theory mathematician matical means methods minimize minimum multistage decision process observe operation optimal policy paradox particular path patient pattern recognition play player possible precise preprogrammed probability distribution probability theory puter puzzles question reasonable simple simulation situations solve stochastic stochastic approximation structure talking techniques tion transformation uncertainty unknown variables W. V. O. Quine words York Zadeh
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 |