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Where Do Human Heuristics Come From?
[article]
2019
arXiv
pre-print
Human decision-making deviates from the optimal solution, that maximizes cumulative rewards, in many situations. Here we approach this discrepancy from the perspective of bounded rationality and our goal is to provide a justification for such seemingly sub-optimal strategies. More specifically we investigate the hypothesis, that humans do not know optimal decision-making algorithms in advance, but instead employ a learned, resource-bounded approximation. The idea is formalized through combining
arXiv:1902.07580v2
fatcat:p4gwzfcgnjcgvc7ilhvfkvvkwe