Figures
Fig 5 and Fig 6 are incorrect. The authors have provided a corrected version here.
A Empirical evidence (derived from integrating data from available studies as in [19]) concerning the difference in probability between choosing option A and option B when a third option K is available (P[A|A,B,K] − P[B|A,B,K]). Here options are characterized by two attributes (price p and quality q). For car A, we assign Rp,A = 1 to price (low scores indicate high price) and Rq,A = 10 to quality. For car B, we assign Rp,B = 10 to price and Rq,B = 1 to quality. The graph considers the choice probability difference between option A and option B as a function of the reward amounts Rq,K (for quality; x axis) and Rp,K (for price; y axis) of a third option K. Green areas indicate values for which no difference is expected based on empirical evidence; orange and blue areas indicates values for which a positive and negative difference is expected, respectively. B: The same analysis is performed with data simulated using BCV (100000 trials are simulated for each condition; μC = 0; ;
= 1 for simulations).
Predictions of BCV about the difference in probability between choosing option A and option B when a third option K is available (P[A|A,B,K] − P[B|A,B,K]). Here options are characterized by two attributes (price p and quality q). For car A, we assign Rp,A = 1 to price (low scores indicate high price) and Rq,A = 10 to quality. For car B, we assign Rp,B = 10 to price and Rq,B = 1 to quality. The graph considers the choice probability difference between option A and option B as a function of the reward amounts Rq,K (for quality; x axis) and Rp,K (for price; y axis) of a third option K (100000 trials are simulated for each condition; = 1 for simulations). Different parameter sets are swn. A: Simulation using μC = −2 and
. B: Simulation using μC = 2 and
. C: Simulation using μC = 0 and
. D: Simulation using μC = 0 and
.
Reference
- 1. Rigoli F, Mathys C, Friston KJ, Dolan RJ (2017) A unifying Bayesian account of contextual effects in value-based choice. PLoS Comput Biol 13(10): e1005769. https://doi.org/10.1371/journal.pcbi.1005769 pmid:28981514
Citation: Rigoli F, Mathys C, Friston KJ, Dolan RJ (2019) Correction: A unifying Bayesian account of contextual effects in value-based choice. PLoS Comput Biol 15(10): e1007366. https://doi.org/10.1371/journal.pcbi.1007366
Published: October 2, 2019
Copyright: © 2019 Rigoli et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.