Noe: Norms Emergence and Robustness Based on Emotions in Multiagent Systems
Tzeng, Sz-Ting, Ajmeri, Nirav, Singh, Munindar P.
–arXiv.org Artificial Intelligence
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 evaluate whether to comply or violate a norm. Specifically, before selecting an action to execute, an agent observes the environment and infer 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) promote norm compliance; and (2) improve societal welfare.
arXiv.org Artificial Intelligence
Apr-30-2021
- Country:
- Asia > Macao (0.04)
- Oceania > New Zealand
- North Island > Auckland Region > Auckland (0.04)
- North America
- United States
- New York (0.04)
- New Jersey (0.04)
- North Carolina > Wake County
- Raleigh (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- Canada > Quebec
- Montreal (0.05)
- United States
- Europe
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Sweden > Stockholm
- Stockholm (0.04)
- United Kingdom > England
- Genre:
- Research Report
- Experimental Study (0.95)
- New Finding (0.69)
- Research Report
- Industry:
- Technology: