DDM如何帮助理解情感和决策的关系

分享嘉宾：张浩宇
单位：多伦多大学心理系

报告简介

In recent years interest in integrating the affective and decision sciences has skyrocketed. Immense progress has been made, but the complexities of each field, which can multiply when combined, present a significant obstacle. A carefully defined framework for integration is needed. The shift towards computational modeling in decision science provides a powerful basis and a path forward, but one whose synergistic potential will only be fully realized by drawing on the theoretical richness of the affective sciences. Reviewing research using a popular computational model of choice (the drift-diffusion model), the authors discuss how mapping concepts to parameters reduces conceptual ambiguity and reveals novel hypotheses.

报告时间

北京时间 [GMT+8] 2023年11月13日 (周一) 21:00~22:30

会议信息： ZOOM 会议号：827 9274 9402

报告语言： 中文

主持人： 温秀娟

参考文献

Roberts, I. D., & Hutcherson, C. A. (2019). Affect and decision making: Insights and predictions from computational models. Trends in cognitive sciences, 23(7), 602-614.

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• PPT