An Introduction to Artificial Intelligence: Can Computers Think? |
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Page 26
... decisions , where we have a multistage decision process , we can still think in terms of policies . Thus , the more fundamental concept which carries over to many dif- ferent fields of decision making is the concept of policy . 10 ...
... decisions , where we have a multistage decision process , we can still think in terms of policies . Thus , the more fundamental concept which carries over to many dif- ferent fields of decision making is the concept of policy . 10 ...
Page 83
... MULTISTAGE DECISION PROCESS First we want to formulate the problem as a multistage decision process . We have made k trials and have observed m successes and n failures , let us say on the strange lever . There are N trials remaining ...
... MULTISTAGE DECISION PROCESS First we want to formulate the problem as a multistage decision process . We have made k trials and have observed m successes and n failures , let us say on the strange lever . There are N trials remaining ...
Page 142
... DECISION MAKING When we talk about decision making , we are not talking in ... multistage decision processes . Our objective then has been to take a large ... process to a single - stage decision process , which appears to be a simpler ...
... DECISION MAKING When we talk about decision making , we are not talking in ... multistage decision processes . Our objective then has been to take a large ... process to a single - stage decision process , which appears to be a simpler ...
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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 |