Emotion-involved human decision-making model
Emotion-involved human decision-making model
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DOI：
10.1080/13873954.2021.1986846
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发表时间：
2021-01
影响因子：
1.9
通讯作者：
Kaede Iinuma;K. Kogiso
中科院分区：
文献类型：
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作者：
Kaede Iinuma;K. Kogiso
摘要本研究提出了一个计算人类决策模型，处理情绪诱导的行为。所提出的模型可以确定一个合理的或不合理的行动，根据概率分布，通过混合部分可观察的马尔可夫决策过程的最优策略和进化的概率分布，由新的动态的情绪。情绪动态与连续的负面观察导致情绪诱导的非理性行为。我们澄清的条件，通过两个定理，该模型计算合理的和不合理的行动方面的一些模型参数。一个基于日本法庭记录的数值例子被用来证实所提出的模型模仿人类的决策过程。此外，我们还讨论了预防措施的可能性，以避免谋杀案的情况。这项研究表明，如果决策者的特质可以建模，所提出的模型可以支持人类的互动，以避免情绪驱动的谋杀案的情况。
ABSTRACT This study proposes a computational human decision-making model that handles emotion-induced behaviour. The proposed model can determine a rational or irrational action according to a probability distribution obtained by mixing an optimal policy of a partially observable Markov decision process and an evolved probability distribution by novel dynamics of emotions. Emotion dynamics with consecutive negative observations cause emotion-induced irrational behaviours. We clarify the conditions, via two theorems, that the proposed model computes rational and irrational actions in terms of some model parameters. A numerical example based on Japanese court records is used to confirm that the proposed model imitates the human decision-making process. Moreover, we discuss the possibility of preventive measures for avoiding the murder case scenario. This study shows that if the traits of a decision maker can be modelled, the proposed model can support human interactions to avoid an emotion-driven murder case scenario.