Correction: A unifying Bayesian account of contextual effects in value-based choice

Fig 5 and Fig 6 are incorrect. The authors have provided a corrected version here.

Fig 5.

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 R_p,A = 1 to price (low scores indicate high price) and R_q,A = 10 to quality. For car B, we assign R_p,B = 10 to price and R_q,B = 1 to quality. The graph considers the choice probability difference between option A and option B as a function of the reward amounts R_q,K (for quality; x axis) and R_p,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; μ_C = 0; ${\sigma }_R^2=0.1$; ${\sigma }_C^2$ = 1 for simulations).

Fig 6.

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 R_p,A = 1 to price (low scores indicate high price) and R_q,A = 10 to quality. For car B, we assign R_p,B = 10 to price and R_q,B = 1 to quality. The graph considers the choice probability difference between option A and option B as a function of the reward amounts R_q,K (for quality; x axis) and R_p,K (for price; y axis) of a third option K (100000 trials are simulated for each condition; ${\sigma }_C^2$ = 1 for simulations). Different parameter sets are swn. A: Simulation using μ_C = −2 and ${\sigma }_R^2=0.1$. B: Simulation using μ_C = 2 and ${\sigma }_R^2=0.1$. C: Simulation using μ_C = 0 and ${\sigma }_R^2=1$. D: Simulation using μ_C = 0 and ${\sigma }_R^2=10$.