Hunger improves reinforcement-driven but not planned action.
Cogn Affect Behav Neurosci
; 21(6): 1196-1206, 2021 12.
Article
em En
| MEDLINE
| ID: mdl-34652602
ABSTRACT
Human decisions can be reflexive or planned, being governed respectively by model-free and model-based learning systems. These two systems might differ in their responsiveness to our needs. Hunger drives us to specifically seek food rewards, but here we ask whether it might have more general effects on these two decision systems. On one hand, the model-based system is often considered flexible and context-sensitive, and might therefore be modulated by metabolic needs. On the other hand, the model-free system's primitive reinforcement mechanisms may have closer ties to biological drives. Here, we tested participants on a well-established two-stage sequential decision-making task that dissociates the contribution of model-based and model-free control. Hunger enhanced overall performance by increasing model-free control, without affecting model-based control. These results demonstrate a generalized effect of hunger on decision-making that enhances reliance on primitive reinforcement learning, which in some situations translates into adaptive benefits.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Fome
/
Tomada de Decisões
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Cogn Affect Behav Neurosci
Assunto da revista:
CIENCIAS DO COMPORTAMENTO
/
NEUROLOGIA
Ano de publicação:
2021
Tipo de documento:
Article
País de afiliação:
Reino Unido