The causal structure and computational value of narratives.
Trends Cogn Sci
; 2024 May 10.
Article
en En
| MEDLINE
| ID: mdl-38734531
ABSTRACT
Many human behavioral and brain imaging studies have used narratively structured stimuli (e.g., written, audio, or audiovisual stories) to better emulate real-world experience in the laboratory. However, narratives are a special class of real-world experience, largely defined by their causal connections across time. Much contemporary neuroscience research does not consider this key property. We review behavioral and neuroscientific work that speaks to how causal structure shapes comprehension of and memory for narratives. We further draw connections between this work and reinforcement learning, highlighting how narratives help link causes to outcomes in complex environments. By incorporating the plausibility of causal connections between classes of actions and outcomes, reinforcement learning models may become more ecologically valid, while simultaneously elucidating the value of narratives.
Texto completo:
1
Bases de datos:
MEDLINE
Idioma:
En
Revista:
Trends Cogn Sci
Asunto de la revista:
PSICOLOGIA
Año:
2024
Tipo del documento:
Article