Citizen-Centric Multiagent Systems

Advances in multiagent systems (MAS) have the potential to solve critical societal challenges. For example, MAS techniques for efficient resource allocation can help us implement cleaner and more efficient forms of on-demand mobility; social choice methods can support us in deciding how to trade off energy use and comfort in smart buildings; and task coordination methods can be used to respond to disasters in an effective and resilient manner. However, the benefits of these approaches can only be realised if citizen end users are able to trust these emerging multiagent systems. To achieve this, a citizen-centric approach needs to be taken. This places citizens at the heart of the design, development and deployment of trustworthy multiagent systems. We present open research challenges in this area, put forward key application domains for citizen-centric MAS (C-MAS) and discuss collaborative research opportunities.

Authors

• Sebastian Stein University of Southampton
• Vahid Yazdanpanah University of Southampton

Keywords

• Citizen-Centric Multiagent Systems
• AI for Social Good