Sabbatical ‘22-’23 at DeepMind, working on AI and economics
August 23, 2022
David ParkesJohn A. Paulson Dean
George F. Colony Professor of Computer Science
Research Interests
Multi-agent AI, Bounded rationality, Machine learning and decisions, Multi-agent reinforcement learning, Intelligence architectures, Fair machine learning, Game theory, Algorithmic economics, Auction design, Market design, Mechanism design, Preference elicitation.
Recent News
Masters of Data Science recognized
August 23, 2022
Science advances paper on the AI Economist
August 23, 2022
Elected, AAAS Fellow
August 23, 2022
Best Higher Cognition paper published in the Cognitive Science Conference Proceedings.
March 23, 2020
Best Higher Cognition paper published in the Cognitive Science Conference Proceedings,
2020, for "Too many cooks: Coordinating multi-agent collaboration through inverse
planning", Sarah Wu, Rose Wang, James Evans, Joshua Tenenbaum, David Parkes and
Max Kleiman-Weiner.
2020, for "Too many cooks: Coordinating multi-agent collaboration through inverse
planning", Sarah Wu, Rose Wang, James Evans, Joshua Tenenbaum, David Parkes and
Max Kleiman-Weiner.
Recent Publications
- Multi-Agent Risks from Advanced AI, 2025, arXiv, 2502.14143
- BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization.
- An Analysis of Blockchain Governance via Political Economics
- Double-Spend Counterattacks: Threat of Retaliation in Proof-of-Work Systems
- BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization.
- Multi-sender persuasion: A computational perspective.
Ph.D. Students
Zhou Fan
(G5)
Jeff Jiang
(G3 - Co-advised by Yiling Chen)
Daniel Moroz
(on leave)
Gary Qiurui Ma
(G4 - Co-advised by Yannai Gonczarowski)
Gili Rusak
(G3)
Tonghan Wang
(G3, Secondary advisor Milind Tambe)
Mark York
( On leave (co-advised with Munther Dahleh, MIT))
Hugh Zhang
(On Leave)
Kehang Zhu
(G4, Primary Advisor John Horton, MIT)