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
actual algorithm amount answer applications approach approximate average begin behavior Bellman called chapter classical complex concept Consequently consider considerable course deal decision process described determine device difficulty digital computer discussed distribution draw Dynamic Programming effect equation essential example exist expected experience fact feasible field FIGURE function give given hand human idea important intelligence interesting Introduction involved learning levels logic look machine mathematical mathematical theory mathematician means method minimize nature observe operation optimal original particular path patient perform play player possible precise present Press probability problem puzzles question reasonable rules simple simulation situations solve space stochastic stop storage structure success talk techniques tell theory things tion transformation uncertainty University unknown various wish 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 |