Cited by 3Neural and Behavioral Psychology StudiesDecision-Making and Behavioral EconomicsNeurotransmitter Receptor Influence on Behavior

Model-free decision making resists improved instructions and is enhanced by stimulus-response associations

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Luna, Raúl, Vadillo, Miguel A., Luque, David·2023·Cortex

Published version of a preprint

Abstract

Human behaviour may be thought of as supported by two different computational-learning mechanisms, model-free and model-based respectively. In model-free strategies, stimulus-response associations are strengthened when actions are followed by a reward and weakened otherwise. In model-based learning, previous to selecting an action, the current values of the different possible actions are computed based on a detailed model of the environment. Previous research with the two-stage task suggests that participants' behaviour usually shows a mixture of both strategies. But, interestingly, a recent study by da Silva and Hare (2020) found that participants primarily deploy model-based behaviour when they are given detailed instructions about the structure of the task. In the present study, we reproduce this essential experiment. Our results confirm that improved instructions give rise to a stronger model-based component. Crucially, we also found a significant effect of reward that became stronger under conditions that favoured the development of strong stimulus-response associations. This suggests that the effect of reward, often taken as indicator of a model-free component, is related to stimulus-response learning.

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  1. Gillan, C. M., Otto, A. R., Phelps, E. A., & Daw, N. D. (2015). Modelbased learning protects against forming habits. Cognitive, Affective, & Behavioural Neuroscience, 15 (3), 523 e 536. http://refhub.elsevier.com/S0010-9452(2300168-5/sref14)
  2. Kleiner, M., Brainard, D. H., & Pelli, D. G. (2007). What ' s new in Psychtoolbox-3? Perception, 36 (ECVP Abstract Supplement). http://refhub.elsevier.com/S0010-9452(2300168-5/sref18)
  3. Stan Development Team. (2012). Stan modeling language user ' s guide and reference manual Version 1.0. . http://refhub.elsevier.com/S0010-9452(2300168-5/sref34)

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Authors
Luna, R., Vadillo, M. A., & Luque, D.
Affiliations
  • Consejo Superior de Investigaciones Científicas (ES)
  • Universidad Autónoma de Madrid (ES)
Corresponding author
  • Luna, Raúl
  • Luque, David
Venue
Cortex
Publisher
Elsevier BV
Published
2023-11
Volume
168
Pages
102-113
ISSN
0010-9452 (ISSN-L)
OpenAlex
W4384818504
Cited by
3
References
39
Citations by year
2025: 1 · 2024: 2
FWCI
0.45
Type
journal article
Language
en
Open access
Locations
  • Cortex (publishedVersion, cc-by-nc-nd)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Biblos-e Archivo (Universidad Autónoma de Madrid) (submittedVersion, cc-by)
  • DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by-nc-nd)
  • Hispana (submittedVersion)
Funders
  • Gobierno de España Ministerio de Ciencia e Innovación
  • Junta de Andalucía
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
Keywords
model-free learning, model-based learning, decision-making, stimulus-response associations, reward, task instructions, reinforcement learning
MeSH terms
Adult, Decision Making, Female, Humans, Learning, Male, Psychomotor Performance, Reaction Time, Reward, Young Adult

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