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Poster C134 in Poster Session C - Friday, August 9, 2024, 11:15 am – 1:15 pm, Johnson Ice Rink
Testing predictions of a model for flexible goal-directed decision-making
Romy Froemer1 (), Chih-Chung Ting2, Sebastian Gluth2, Amitai Shenhav3; 1School of Psychology, Centre for Human Brain Health, University of Birmingham, 2Department of Psychology, Hamburg University, 3Department of Cognitive, Linguistic, & Psychological Sciences, Brown University
Every day, humans flexibly make a broad range of decisions, including choosing the item they like most or least, or assigning a value to their option set as a whole. We recently showed that a single sequential sampling model could flexibly accommodate these and other types of decisions. We developed a theoretical framework that formalizes the necessary representations that align sequential sampling and evidence accumulation with one's current choice goals. We implemented this framework within an extended leaky competing accumulator model and showed that model simulations can parsimoniously explain behavior across a range of different choice goals, while also generating predictions for previously untested choice goals. Here we test behavioral predictions of our model and show that human behavior matches the predicted patterns.
Keywords: Value-based decision making Leaky Competing Accumulator Mutual Inhibition