Learning a commonsense moral theory.
Cognition
; 167: 107-123, 2017 10.
Article
en En
| MEDLINE
| ID: mdl-28351662
ABSTRACT
We introduce a computational framework for understanding the structure and dynamics of moral learning, with a focus on how people learn to trade off the interests and welfare of different individuals in their social groups and the larger society. We posit a minimal set of cognitive capacities that together can solve this learning problem:
(1) an abstract and recursive utility calculus to quantitatively represent welfare trade-offs; (2) hierarchical Bayesian inference to understand the actions and judgments of others; and (3) meta-values for learning by value alignment both externally to the values of others and internally to make moral theories consistent with one's own attachments and feelings. Our model explains how children can build from sparse noisy observations of how a small set of individuals make moral decisions to a broad moral competence, able to support an infinite range of judgments and decisions that generalizes even to people they have never met and situations they have not been in or observed. It also provides insight into the causes and dynamics of moral change across time, including cases when moral change can be rapidly progressive, changing values significantly in just a few generations, and cases when it is likely to move more slowly.Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Cognición
/
Juicio
/
Aprendizaje
/
Principios Morales
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Cognition
Año:
2017
Tipo del documento:
Article