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Unformatted text preview: t) > CalcSum(dealer) and CalcSum(dealer) > 17 ... Action Hit Stand ... d) Using seed 0, simulating 50 rounds: Agent Type Percentage of Wins Probabilistic “target one” 40- 60% Probabilistic “target two” 40- 60% e) Answers to this question may vary. The utility based agent has an advantage is that the way it interacts with a model more naturally fits the blackjack problem. One particularly nice representation would be to use a utility function that uses the chance of winning after taking an action as the utility value. Part IV a) A goal- based agent. b) They may not format in a table like this, but their decisions should be similar. QuantSum = low...
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This note was uploaded on 01/22/2014 for the course EECS 492 taught by Professor Staff during the Fall '08 term at University of Michigan.

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