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Bounded rationality leads to optimal decision-making and learning under uncertainty: Satisficing, prospect theory, and comparative valuation breaking the speed-accuracy tradeoff.
Tatsuji Takahashi
Kuratomo Oyo
Yu Kohno
Published in:
CogSci (2013)
Keyphrases
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decision making
bounded rationality
reinforcement learning
learning algorithm
computational complexity
evolutionary algorithm
special case
data mining
prospect theory