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There are two aspects to computational limitations in decision making. On the one hand, there is the idea that the human brain is computational and that optimal decisions require lengthy computations but that the human computational capacity is limited, and therefore human decision performance is less than optimal and humans must use alternative strategies (heuristics, etc.) to make decisions.

The second aspect is that computers are limited as well from recommending optimal decisions because the algorithms required, by necessity, take too much time. So computers too must use alternative approaches.

The primary dialectic in decision making pits the rational-man model, where decisions are made in accordance with the goal of maximizing utility, against the natural-man model, where decisions are made in a way that has been evolutionarily ...

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