Learning in noise: Dynamic decision-making in a variable environment

TM Gureckis, BC Love - Journal of Mathematical Psychology, 2009 - Elsevier
In engineering systems, noise is a curse, obscuring important signals and increasing the
uncertainty associated with measurement. However, the negative effects of noise are not
universal. In this paper, we examine how people learn sequential control strategies given
different sources and amounts of feedback variability. In particular, we consider people's
behavior in a task where short-and long-term rewards are placed in conflict (ie, the best
option in the short-term is worst in the long-term). Consistent with a model based on …
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