Zobrazeno 1 - 10
of 155
pro vyhledávání: '"David C. Parkes"'
Autor:
David C. Parkes
Publikováno v:
Harvard Data Science Review (2022)
Externí odkaz:
https://doaj.org/article/8b01ff8a0d554c43942b76feb8d53027
Publikováno v:
Harvard Data Science Review (2022)
Externí odkaz:
https://doaj.org/article/95c90ddd5ad141ada582e613c126291f
Autor:
David C. Parkes
Publikováno v:
Harvard Data Science Review (2022)
Externí odkaz:
https://doaj.org/article/8740fe0717b846f5b4b8d1ca873bb1e9
Autor:
David C. Parkes
Publikováno v:
Harvard Data Science Review (2022)
Externí odkaz:
https://doaj.org/article/01e62f878c6f411183103a1b26021649
Autor:
Francesca Dominici, David C. Parkes
Publikováno v:
Harvard Data Science Review (2021)
Externí odkaz:
https://doaj.org/article/df1250b291354f8c829c8d303b5913fe
Publikováno v:
Proceedings of the 55th Annual ACM Symposium on Theory of Computing.
Autor:
Iyad Rahwan, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean‐François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew O. Jackson, Nicholas R. Jennings, Ece Kamar, Isabel M. Kloumann, Hugo Larochelle, David Lazer, Richard McElreath, Alan Mislove, David C. Parkes, Alex ‘Sandy’ Pentland, Margaret E. Roberts, Azim Shariff, Joshua B. Tenenbaum, Michael Wellman
Publikováno v:
Machine Learning and the City. :143-166
Publikováno v:
Communications of the ACM. 64:109-116
Designing an incentive compatible auction that maximizes expected revenue is an intricate task. The single-item case was resolved in a seminal piece of work by Myerson in 1981. Even after 30--40 years of intense research, the problem remains unsolved
Autor:
Rediet Abebe, Jon Kleinberg, Zhibin Liang, T.-H. Hubert Chan, Charalampos E. Tsourakakis, David C. Parkes, Mauro Sozio
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 16:1-34
A long line of work in social psychology has studied variations in people’s susceptibility to persuasion—the extent to which they are willing to modify their opinions on a topic. This body of literature suggests an interesting perspective on theo
Publikováno v:
Science advances. 8(18)
Artificial intelligence (AI) and reinforcement learning (RL) have improved many areas but are not yet widely adopted in economic policy design, mechanism design, or economics at large. The AI Economist is a two-level, deep RL framework for policy des