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

Autor:	Warburton M; School of Psychology, University of Leeds, Leeds, UK., Brookes J; School of Psychology, University of Leeds, Leeds, UK.; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK., Hasan M; School of Computing, University of Leeds, Leeds, UK., Leonetti M; School of Computing, University of Leeds, Leeds, UK.; Department of Informatics, King's College London, London, UK., Dogar M; School of Computing, University of Leeds, Leeds, UK., Wang H; School of Computing, University of Leeds, Leeds, UK.; Centre for Immersive Technologies, University of Leeds, Leeds, UK., Cohn AG; School of Computing, University of Leeds, Leeds, UK., Mushtaq F; School of Psychology, University of Leeds, Leeds, UK.; Centre for Immersive Technologies, University of Leeds, Leeds, UK., Mon-Williams M; School of Psychology, University of Leeds, Leeds, UK.; Centre for Immersive Technologies, University of Leeds, Leeds, UK.; Centre for Applied Education Research, Wolfson Centre for Applied Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, West Yorkshire, UK.; National Centre for Optics, Vision and Eye Care, University of South-Eastern Norway, Kongsberg 3616, Norway.
Jazyk:	angličtina
Zdroj:	Royal Society open science [R Soc Open Sci] 2024 Apr 03; Vol. 11 (4), pp. 231550. Date of Electronic Publication: 2024 Apr 03 (Print Publication: 2024).
DOI:	10.1098/rsos.231550
Abstrakt:	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. Competing Interests: We declare we have no competing interests. (© 2024 The Authors.)
Databáze:	MEDLINE
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