Social Conventions to Promise Learning Convergence

Convergence is an important problem in the current learning algorithms for multi-agent system. The diversity of solutions causes it difficult for all agents in the system to unify their selections. The social conventions are prompted for the system during learning, which will help deciding the unique game solution for the system and promising the learning convergence therefore.