Distributed and Automated Games and Managerial Economics Lab
Distributed and Automated Games and Managerial Economics Lab was founded by Professor Xiaotie Deng in 2019 at Peking University. The research subjects of lab are algorithmic game theory, Internet and blockchain economics, theory of multi-agents and deep reinforcement learning. We focus on the methodological studies for the interactions of human with agents, in the epistemological changes with respect to acquisition of data and information, equilibrium and game dynamics among human and agents, computational and communication complexity, design and analysis of algorithms and protocols. We are especially interested in the applications of Internet market design, analysis of incentives and cooperative competition, as well as high performance consensus, reputation system design and cross-chain mechanism design in Blockchain economics and technology.
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.