Director:Prof. Xiaotie Deng

Executive Director: Prof. Yijie Peng

Overview:

The Center for Multi-Agent and Social Intelligence Research aims to integrate innovative research, industry practice, and talent development, fostering interdisciplinary collaboration and an industry-academia-research model. Its goals are:

(1)Fundamental Research: Investigate multi-agent system mechanisms (control, communication, coordination, cooperation, competition) to drive original theories, algorithms, and designs.

(2)Industrial Simulation: Develop a Large Management Model (LMM) using multi-agent systems and reinforcement learning to optimize complex management decisions (design, production, inventory, sales, supply chain), supporting smart manufacturing and industry transformation.

(3)Social Intelligence: Apply multi-agent tech to enhance urban management, public safety, and transportation, offering AI-driven governance solutions.

(4)Civilization Dynamics: Build a civilization simulator to model historical social, cultural, and economic evolution, analyzing societal change to support policymaking, urban planning, and national strategy through simulations of empire dynamics and global power shifts.