Modelling Mood in Co-operative Emotional Agents

Simulating emotions based on psychological models has been a topic where work has focused on social dilemmas using simulated emotions to inform decision making within artificial agents. However human decision making is affected not only by emotions but also by other aspects of people’s temperament: the mood of the person also affects their decision making, in conjunction with other factors such as inequity aversion. We propose a simulated model of mood, which is formed and validated through psychological research. We use this to inform decision making in conjunction with simulated emotions to improve the decision making within agents compared to emotions alone. We empirically evaluate our simulated model of mood in addition to emotions. We show that our mood model can be implemented in a robotic setting which can clarify aspects of multi-agent systems, such as cooperation within an agent society.

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