1. Research on self-adaptive decision-making mechanism for competition strategies in robot soccer Frontiers of Computer Science, 2015, 9(3):485–494 Haobin SHI, Lincheng XU, Lin ZHANG, Wei PAN, Genjiu XU

2. Problems & Ideas Problems of layered decision-making and partition-based decision-making in Robot Soccer – Collaborative Confrontation Decision-Making system can not satisfy the need of high dynamic robot soccer competition. – Layered decision-making system oppositely the upper strategies don’t concern much about the underlying environments. Ideas: Propose a self-adaptive decision-making strategy – Compensates the restrictions of robot physic movement control. – Designs the self-adaptive role assignment model.

3. Main Contributions Scoring comparison based on different decision model Simulation experimental results comparisons for different teams Experimental & Conclusion: – Self-Adaptive decision-making strategy (SADM) can meet the actual needs of MiroSot5v5 platform. – It’s strategy implementation is more stable and flexible and has the advantage of excellent execution efficiency, better coordination. – the model framework of SADM also owns a good expansibility for multi-agent confrontationdecision-making.