ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2014, Vol. 22 ›› Issue (2): 205-219.doi: 10.3724/SP.J.1042.2014.00205

• 决策心理学专栏 • 上一篇    下一篇

风险决策过程验证:补偿/非补偿模型之争的新认识与新证据

张阳阳;饶俪琳;梁竹苑;周媛;李纾   

  1. 中国科学院心理研究所行为科学重点实验室, 北京 100101
  • 收稿日期:2013-12-26 出版日期:2014-02-15 发布日期:2014-02-15
  • 通讯作者: 李纾
  • 基金资助:

    国家重点基础研究发展计划(2011CB711002)、国家自然科学基金(31170976; 31300843; 71071150)、中国科学院知识创新工程重要方向项目(SCX2-EW-J-8)、北京市优秀博士学位论文指导教师人文社科项目(20138012501)以及北京市重点学科建设项目资助。

Process Test of Risky Decision Making: New Understanding, New Evidence Pitting Non-compensatory Against Compensatory Models

ZHANG Yang-Yang;RAO Li-Lin;LIANG Zhu-Yuan;ZHOU Yuan;LI Shu   

  1. Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
  • Received:2013-12-26 Online:2014-02-15 Published:2014-02-15
  • Contact: LI Shu

摘要:

风险决策是人类赖以生存和发展的重大决策。如何进行风险决策是人类不断认识和改造世界过程中遇到的未解之谜。主流风险理论认为, 风险决策是一个补偿性的、期望值最大化的过程; 而非主流的风险理论则认为, 风险决策是非补偿性的, 并不遵循期望法则所假设的加权求和等过程。这一谜团为何一直没有得以破解, 或许是因为我们未找到揭示其心理过程的令人信服的证据。近10年来, 我们针对风险决策过程, 借助行为实验、眼动记录法、事件相关电位、功能磁共振成像等技术, 系统探索风险决策的心理和神经机制, 为回答“风险决策是否遵循补偿性规则”这一问题提供了汇聚性证据。本文依据期望法则所假设的概率函数推导、加权过程、加权求和过程、总分最大化等步骤, 对这些研究进行梳理与回顾, 以期加深人们对风险决策机制的理解, 并为建立、健全与风险决策相关的政策、法律法规提供理论依据。

关键词: 风险决策, 决策过程, 补偿性规则, 非补偿性规则, 眼动, ERP, fMRI

Abstract:

Decision making under risk is vital to human survival and development. How to make a risky choice is a compelling question facing scientists today. Mainstream theories of decision making under risk hold that risky choices are based on a compensatory expectation-maximizing process. Some researchers, however, argued that risky choice is based on a non-compensatory process, foregoing weighting and summing. People rely on only one (or a few) key dimension (s) rather than integrating information from all dimensions of an option for making a decision. To tackle this question and further our knowledge of the mechanism underlying human decision making, concrete and convincing evidence based on psychological process is required. Therefore, over the past decade, we designed and conducted a series of behavioral and neural experiments to systematically investigate the process of risky decision making. We organized and presented our experiments in line with the computation steps assumed by the expectation rule, that is, from the process of deriving probability functions, to weighting process, to weighting and summing process, and then to maximizing overall values. This review illustrates how these “independent” studies can help us to gradually understand the global process underlying risky choices, thereby providing psychology- and neuroscience-based theoretical foundations for establishing and stipulating risk related policies, laws, and regulations.

Key words: risky choice, decision process, compensatory rule, non-compensatory rule, eye-tracking, ERP, fMRI