Nonlinear Probability Weighting Can Reflect Attentional Biases in Sequential Sampling.

Nonlinear probability weighting allows cumulative prospect theory (CPT) to account for key phenomena in decision making under risk (e.g., certainty effect, fourfold pattern of risk attitudes). It describes the impact of risky outcomes on preferences in terms of a rank-dependent nonlinear transformat...

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Detalles Bibliográficos

Publicado en:	Psychological Review Vol. 129; no. 5; pp. 949 - 976
Autores principales:	Zilker, Veronika, Pachur, Thorsten
Formato:	Artículo
Publicado:	American Psychological Association Oct2022
Materias:	Prospect theory Decision making Attentional bias Drift diffusion models Probability theory
Acceso en línea:	Ver este registro en EBSCOhost