Acceso usuarios
Luis J. López Romero, Angélica Alvarado, Rosalva Cabrera, David Luna, Javier Vila Carranza
Choice behavior has been studied to determine how past experiences are integrated to affect elections between patches. This idea suggests an integration of subjective value and temporal distance in a dynamic average to predict choice behavior. A choice task was presented on a computer screen, which showed three options that could give or not an appetitive consequence. Participants were divided into 4 groups depending on either reward magnitude or training-test interval. Results showed: 1) preference for the most recently reinforced option (B) when test was immediate, 2) preference for the option with the highest reward magnitude (A) at 24h (spontaneous recovery) in the group A> B 24h, 3) indifference in A= B 24h groups, consistent with idea that subjective values and recency of past experiences change as time passes. These results are consistent with the predictions of Temporal Weighting Rule (TWR) and assume integration of information based on dynamic average of past experiences in human choice tasks
