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.

摘要

本研究提出了一种处理情绪诱发行为的计算人类决策模型。所提出的模型可以根据通过混合部分可观察马尔可夫决策过程的最优策略和通过新的情绪动态演化的概率分布获得的概率分布来确定理性或非理性行为。具有连续负面观察的情绪动态会导致情绪诱发的非理性行为。我们通过两个定理阐明了所提出的模型根据某些模型参数计算理性和非理性行为的条件。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决策过程。此外，我们讨论了避免谋杀案情景的预防措施的可能性。