How to Support the Decision-Making Process of Community Regeneration proposed by Evolutionary Game and Reinforcement Learning? A case study in Shanghai

Cyberspace offers more possibilities for public participation equality and public empowerment, with the possibility of projection and computation of integrated social, cultural and physical spaces, which is a new way of life and governance renewal. This project focuses on the research gap where the role of the updated iterations of physical space and social interaction on social attributes is unclear. This project proposes systematic decision support on community renewal, using deep reinforcement learning and evolutionary game modelling to build a conceptual framework for simulation, providing optimal solutions for different optimization goals to achieve artificial intelligence decision support. The paper provides inspiration for the application of computational decision-making support in urban governance such as community renewal.