算法博弈论实验室由邓小铁教授于2019年创立，研究方向为算法博弈论、互联网和区块链经济学、多智能体及强化深度学习理论。科研兴趣聚焦在人和智能体在互联网、物联网和区块链交互环境下多方博弈的理论与方法论建立，包括数据信息的认识论刻画、均衡和动力学分析、计算复杂性和算法设计。对在计算与通讯技术兴起中应用领域问题特别关注互联网广告机制设计，共享经济中的激励分析和合作竞争，以及区块链的高效共识、声誉机制和跨链机制设计。

实验室成员

            邓小铁

实验室代表成果

1. Y. Cheng, X. Deng, Y. Li, "Tightening Up the Incentive Ratio for Resource Sharing Over the Rings,"  In 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), New Orleans, Louisiana USA, May 18-22, 2020, 127-136.

2. X. Deng, T. Lin, and T. Xiao, "Private Data Manipulation in Optimal Sponsored Search Auction," In Proceedings of The Web Conference 2020 (WWW'20), New York, NY, USA, 2676–2682.

3. M. Zhang, J. Li, Z. Chen, H. Chen, X.Deng, "CycLedger: A Scalable and Secure Parallel Protocol for Distributed Ledger via Sharding," In 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), New Orleans, Louisiana USA, May 18-22, 2020, 358-367.