An Introduction to Artificial Intelligence: Can Computers Think? |
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Page 28
... number . It gets large rather quickly . Ten factorial is a convenient unit of how large factor- ials are . That is only 3,628,800 possibilities . Consider , however , 20 !. We see that it is obviously larger than 1010 × 10 !. If we had ...
... number . It gets large rather quickly . Ten factorial is a convenient unit of how large factor- ials are . That is only 3,628,800 possibilities . Consider , however , 20 !. We see that it is obviously larger than 1010 × 10 !. If we had ...
Page 32
... large number for forbidden paths . Either we can use the largest number available in the computer , or we can determine a number from an approximate policy . This avoids any geometric con- sideration of the network . As we said above ...
... large number for forbidden paths . Either we can use the largest number available in the computer , or we can determine a number from an approximate policy . This avoids any geometric con- sideration of the network . As we said above ...
Page 52
... large number of events a certain fraction p of the events are of one type . Note that we have not made precise what we mean by " very large . " This is why we require an axiomatic approach . But remember we said it was an axiomatic ...
... large number of events a certain fraction p of the events are of one type . Note that we have not made precise what we mean by " very large . " This is why we require an axiomatic approach . But remember we said it was an axiomatic ...
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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 |