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首页> 外文期刊>Psychological Review >Modeling Behavior in a Clinically Diagnostic Sequential Risk-Taking Task
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Modeling Behavior in a Clinically Diagnostic Sequential Risk-Taking Task

机译：在临床诊断顺序风险承担任务中对行为进行建模

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摘要

This article models the cognitive processes underlying learning and sequential choice in a risk-taking task for the purposes of understanding how they occur in this moderately complex environment and how behavior in it relates to self-reported real-world risk taking. The best stochastic model assumes that participants incorrectly treat outcome probabilities as stationary, update probabilities in a Bayesian fashion, evaluate choice policies prior to rather than during responding, and maintain constant response sensitivity. The model parameter associated with subjective value of gains correlates well with external risk taking. Both the overall approach, which can be expanded as the basic paradigm is varied, and the specific results provide direction for theories of risky choice and for understanding risk taking as a public health problem.
机译：本文对冒险任务中的学习和顺序选择所基于的认知过程进行建模，以了解它们在这种中等复杂的环境中如何发生以及行为如何与自我报告的现实世界中的冒险行为相关。最佳随机模型假定参与者将结果概率错误地视为固定概率，以贝叶斯方式更新概率，在响应之前而不是响应期间评估选择策略，并保持恒定的响应敏感性。与收益的主观价值相关的模型参数与外部风险承担密切相关。总体方法（可以随着基本范式的变化而扩展）以及特定结果都为风险选择理论和将风险视为公共卫生问题提供了指导。

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