Fixation patterns in simple choice reflect optimal information sampling

• Published in: PLoS computational biology Vol. 17; no. 3; p. e1008863
• Main Authors: Callaway, Frederick, Rangel, Antonio, Griffiths, Thomas L
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 01-03-2021; Public Library of Science (PLoS)
• Subjects: Algorithms; Analysis; Artificial intelligence; Bayesian analysis; Biology and Life Sciences; Choice (Psychology); Data processing; Decision analysis; Decision making; Exact solutions; Information processing; Mathematical optimization; Methods; Multiple criteria decision making; Optimization; Physical Sciences; Research and Analysis Methods; Social Sciences; Statistical sampling; Technology application; United States
• ISSN: 1553-7358; 1553-734X; 1553-7358
• DOI: 10.1371/JOURNAL.PCBI.1008863

Simple choices (e.g., eating an apple vs. an orange) are made by integrating noisy evidence that is sampled over time and influenced by visual attention; as a result, fluctuations in visual attention can affect choices. But what determines what is fixated and when? To address this question, we model the decision process for simple choice as an information sampling problem, and approximate the optimal sampling policy. We find that it is optimal to sample from options whose value estimates are both high and uncertain. Furthermore, the optimal policy provides a reasonable account of fixations and choices in binary and trinary simple choice, as well as the differences between the two cases. Overall, the results show that the fixation process during simple choice is influenced dynamically by the value estimates computed during the decision process, in a manner consistent with optimal information sampling.