Modeling and analysis of dynamic decision making in sequential two-choice tasks
Modeling and analysis of dynamic decision making in sequential two-choice tasks
复制标题
序贯二选任务中动态决策的建模与分析
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
K. Morgansen
中科院分区：
文献类型：
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作者：
Linh Vu;K. Morgansen
建立和分析了连续双选择任务中人类决策的动态系统模型，在该模型中，人类主体在两个选择之间做出一系列相互关联的决策，以获得最大回报。对于一种受人类行为特征启发的名义决策策略，我们证明了在不同类型的报酬结构下，这种决策过程在顺序双选择任务中的渐近行为。我们的工作为认知科学家进行的实验提供了一个面向控制理论的视角。
We present the construction and analysis of a dynamical system model for human decision making in sequential two-choice tasks, in which a human subject makes a series of interrelated decisions between two choices in order to obtain the maximum reward. For a nominal decision making policy inspired by behavioral aspects of humans, we show asymptotic behavior of such decision making process in sequential two-choice tasks for various types of reward structures. Our work gives a control theory oriented perspective to the experiments carried out by cognitive scientists.