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Noe: Norms Emergence and Robustness Based on Emotions in Multiagent Systems

arXiv 2104.15034 ↗First posted 30 Apr 2021cs.AI cs.MAcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 1 of its 42 references that are in the map. First posted on arXiv 30 Apr 2021.

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References · 1

  1. 2017Emotion in Reinforcement Learning Agents and Robots: A Surveycited by 21

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