Human social behavior is influenced by individual differences in social
preferences. Social value orientation (SVO) is a measurable personality trait
which indicates the relative importance an individual places on their own and
on others' welfare when making decisions. SVO and other individual difference
variables are strong predictors of human behavior and social outcomes. However,
there are transient changes human behavior associated with emotions that are
not captured by individual differences alone. Integral emotions, the emotions
which arise in direct response to a decision-making scenario, have been linked
to temporary shifts in decision-making preferences.
In this work, we investigated the effects of moderating social preferences
with integral emotions in multi-agent societies. We developed Svoie, a method
for designing agents which make decisions based on established SVO policies, as
well as alternative integral emotion policies in response to task outcomes. We
conducted simulation experiments in a resource-sharing task environment, and
compared societies of Svoie agents with societies of agents with fixed SVO
policies. We find that societies of agents which adapt their behavior through
integral emotions achieved similar collective welfare to societies of agents
with fixed SVO policies, but with significantly reduced inequality between the
welfare of agents with different SVO traits. We observed that by allowing
agents to change their policy in response to task outcomes, agents can moderate
their behavior to achieve greater social equality. \end{abstract}

本研究考察了在多智能体社会中，以整体情感调节社交偏好的效果。我们开发了 Svoie，一种基于已确定的社交价值导向（SVO）政策以及替代整体情感政策做决策的多智能体代理设计方法。我们在资源共享任务环境中进行了模拟实验，并将 Svoie 代理的社会与固定 SVO 政策的代理社会进行了比较。我们发现，通过内在情绪来适应行为的代理社群可以达到与固定 SVO 政策的代理社群类似的集体福利，但不同 SVO 特征的代理人之间的不平等程度显著降低，并观察到通过让代理人在任务结果中改变政策，代理人可以调节自己的行为以实现更大的社会平等。