偏爱
过程(计算)
最大化
乘法函数
计量经济学
认知心理学
决策场理论
显示偏好
计算机科学
对比度(视觉)
期望效用假设
心理学
人工智能
经济
社会心理学
微观经济学
数学
数理经济学
商业决策图
决策支持系统
决策工程
数学分析
操作系统
作者
Moshe Glickman,Orian Sharoni,Dino J. Levy,Ernst Niebur,Veit Stuphorn,Marius Usher
标识
DOI:10.1371/journal.pcbi.1007201
摘要
A key question in decision-making is how people integrate amounts and probabilities to form preferences between risky alternatives. Here we rely on the general principle of integration-to-boundary to develop several biologically plausible process models of risky-choice, which account for both choices and response-times. These models allowed us to contrast two influential competing theories: i) within-alternative evaluations, based on multiplicative interaction between amounts and probabilities, ii) within-attribute comparisons across alternatives. To constrain the preference formation process, we monitored eye-fixations during decisions between pairs of simple lotteries, designed to systematically span the decision-space. The behavioral results indicate that the participants' eye-scanning patterns were associated with risk-preferences and expected-value maximization. Crucially, model comparisons showed that within-alternative process models decisively outperformed within-attribute ones, in accounting for choices and response-times. These findings elucidate the psychological processes underlying preference formation when making risky-choices, and suggest that compensatory, within-alternative integration is an adaptive mechanism employed in human decision-making.
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