Noe: Norms Emergence and Robustness Based on Emotions in Multiagent Systems
This work addresses the challenge of achieving explainable and autonomous agent behavior in multiagent systems, though it is incremental in nature.
The paper tackles the problem of social norm emergence and robustness in multiagent systems by incorporating emotional responses into normative reasoning, finding that this approach promotes norm compliance and improves societal welfare.
Social norms characterize collective and acceptable group conducts in human society. Furthermore, some social norms emerge from interactions of agents or humans. To achieve agent autonomy and make norm satisfaction explainable, we include emotions into the normative reasoning process, which evaluates whether to comply or violate a norm. Specifically, before selecting an action to execute, an agent observes the environment and infers the state and consequences with its internal states after norm satisfaction or violation of a social norm. Both norm satisfaction and violation provoke further emotions, and the subsequent emotions affect norm enforcement. This paper investigates how modeling emotions affect the emergence and robustness of social norms via social simulation experiments. We find that an ability in agents to consider emotional responses to the outcomes of norm satisfaction and violation (1) promotes norm compliance; and (2) improves societal welfare.