David C. Parkes
David C. Parkes
John 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 Publications
Working Paper
L. Hammond et al.,
“Multi-Agent Risks from Advanced AI”. 2025.
L. Hammond et al.,
“Multi-Agent Risks from Advanced AI”. 2025.
E. Soumalias, Y. Jiang, K. Zhu, M. Curry, S. Seuken, and D. C. Parkes,
“LLM-Powered Preference Elicitation in Combinatorial Assignment”, 2025, doi: CoRR abs/2502.10308.
E. Soumalias, Y. Jiang, K. Zhu, M. Curry, S. Seuken, and D. C. Parkes,
“LLM-Powered Preference Elicitation in Combinatorial Assignment”, 2025, doi: CoRR abs/2502.10308.
B. E. Lee, D. J. Moroz, and D. C. Parkes,
B. E. Lee, D. J. Moroz, and D. C. Parkes,
D. J. Moroz, D. J. Aronoff, N. Narula, and D. C. Parkes,
“Double-Spend Counterattacks: Threat of Retaliation in Proof-of-Work Systems”, CoRR abs/2002.10736.
D. J. Moroz, D. J. Aronoff, N. Narula, and D. C. Parkes,
“Double-Spend Counterattacks: Threat of Retaliation in Proof-of-Work Systems”, CoRR abs/2002.10736.
2025
A. Tacchetti et al.,
“Deep mechanism design: Learning social and economic policies for human benefit.”, Proceedings of the National Academy of Sciences of the United States of America, vol. 122, no. 25, p. e2319949121, 2025, doi: 10.1073/pnas.2319949121.
A. Tacchetti et al.,
“Deep mechanism design: Learning social and economic policies for human benefit.”, Proceedings of the National Academy of Sciences of the United States of America, vol. 122, no. 25, p. e2319949121, 2025, doi: 10.1073/pnas.2319949121.
M. Curry, Z. Fan, Y. Jiang, S. S. Ravindranath, T. Wang, and D. C. Parkes,
“Automated Mechanism Design: A Survey”, ACM SIGecom Exchanges, vol. 22, no. 2, pp. 102–120, 2025.
M. Curry, Z. Fan, Y. Jiang, S. S. Ravindranath, T. Wang, and D. C. Parkes,
“Automated Mechanism Design: A Survey”, ACM SIGecom Exchanges, vol. 22, no. 2, pp. 102–120, 2025.