For structure learning tasks, there are decisions purely intended to diminish the uncertainty about the structure. A simple way to isolate these decisions is by selecting trials in which fixed models (coupled and independent) pick one option while the structure learning model picks the other.
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We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making ...
We use graphical models and structure learning to explore how people learn poli- cies in sequential decision making tasks. Studies of sequential decision- ...
Dec 2, 2010 · Studies of sequential decision-making in humans frequently find suboptimal performance relative to an ideal actor that has perfect knowledge ...
Dec 2, 2010 · We argue that structure learning plays a major role in human sequential decision making. Because structure denotes the statistical relationships ...
Dec 8, 2008 · We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks.
PDF | Author Summary Every decision-making experiment has a structure that specifies how rewards are obtained, which is usually explained to the subject.
Four tasks of 50 trials each are sequentially shown to the structure learning model. Priors were and . Marginal beliefs on reward probabilities (brightness ...
Feb 3, 2009 · Humans daily perform sequential decision-making under uncertainty to choose products, services, careers, and jobs.
We show how probabilistic coupling between rewarding options can be learned, and how models that learn better capture human behavior in choice tasks. We also ...