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Getting stuck in a rut as an emergent feature of a dynamic decision-making system

Warburton, Matthew; Brookes, Jack; Hasan, Mohamed; Leonetti, Matteo; Dogar, Mehmet; Wang, He; Cohn, Anthony G; ... Mon-Williams, Mark; + view all (2024) Getting stuck in a rut as an emergent feature of a dynamic decision-making system. Royal Society Open Science , 11 (4) , Article 231550. 10.1098/rsos.231550. Green open access

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Abstract

Human sensorimotor decision making has a tendency to get ‘stuck in a rut’, being biased towards selecting a previously implemented action structure (hysteresis). Existing explanations propose this is the consequence of an agent efficiently modifying an existing plan, rather than creating a new plan from scratch. Instead, we propose that hysteresis is an emergent property of a system learning from the consequences of its actions. To examine this, 152 participants moved a cursor to a target on a tablet device while avoiding an obstacle. Hysteresis was observed when the obstacle moved sequentially across the screen between trials, whereby the participant continued moving around the same side of the obstacle despite it now requiring a larger movement than the alternative. Two further experiments (n = 20) showed an attenuation when time and resource constraints were eased. We created a simple computational model capturing probabilistic estimate updating that showed the same patterns of results. This provides, to our knowledge, the first computational demonstration of how sensorimotor decision making can get ‘stuck in a rut’ through the updating of the probability estimates associated with actions.

Type: Article
Title: Getting stuck in a rut as an emergent feature of a dynamic decision-making system
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1098/rsos.231550
Publisher version: http://dx.doi.org/10.1098/rsos.231550
Language: English
Additional information: © 2024 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
Keywords: Science & Technology, Multidisciplinary Sciences, Science & Technology - Other Topics, decision-making, hysteresis, choice bias, MANUAL OBSTACLE AVOIDANCE, PLANNING MACROSCOPIC ASPECTS, DORSAL STREAM, MOTOR, SELECTION, BEHAVIOR, SERIAL, GRASPS, TASK
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10191776
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