Research Presentation

A Hierarchical Game-Theoretic Decision-Making for Cooperative Multiagent Systems Under the Presence of Adversarial Agents

This research proposes a new network model called the Game-Theoretic Utility Tree (GUT), combining the core principles of game theory and utility theory to achieve cooperative decision-making for MAS in adversarial environments. [SAC Paper | 03/28/2023]


Hierarchical Needs-driven Self-adaptive Multi-Agent Systems: From Individual Utilities to Swarm Intelligence

I was invited by the Cognitive Robotics and AI Lab (CRAI) in the College of Aeronautics and Engineering at Kent State University to give a talk about my current research on AI and Robotics. [Invited Talk | 06/06/2023]