An Introduction to Artificial Intelligence: Can Computers Think? |
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Page 30
... experience , we can write a little bit better program , but there is no need for any sophistication or expertise . We might also say that for N ≤ 100 or so , it is a hand calculation . We have had people test this for about a hundred ...
... experience , we can write a little bit better program , but there is no need for any sophistication or expertise . We might also say that for N ≤ 100 or so , it is a hand calculation . We have had people test this for about a hundred ...
Page 75
... experience is a good teacher . Thus , we strive to provide some artificial experience that can be combined with theory . This is the basis for using simulation processes . 21. EXPERTS We have questioned the meaningfulness of the concept ...
... experience is a good teacher . Thus , we strive to provide some artificial experience that can be combined with theory . This is the basis for using simulation processes . 21. EXPERTS We have questioned the meaningfulness of the concept ...
Page 99
... experience . We may have preprogrammed policies , but then our ex- periences over time may not be very good , and we will have to learn from bad experiences that the original preprogrammed policy has estimated parameters that are not ...
... experience . We may have preprogrammed policies , but then our ex- periences over time may not be very good , and we will have to learn from bad experiences that the original preprogrammed policy has estimated parameters that are not ...
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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 |