Wellman, Michael P.

Machine behaviour

Rahwan, I., Cebrian, M., Obradovich, N., Bongard, J., Bonnefon, J.-F., Breazeal, C., Crandall, J. W., Christakis, N. A., Couzin, I. D., Jackson, M. O., et al. (2019) · Nature

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 1,364

Multi-Agent Risks from Advanced AI

Hammond, L., Chan, A., Clifton, J., Hoelscher-Obermaier, J., Khan, A., McLean, E., Smith, C., Barfuss, W., Foerster, J., Gavenčiak, T., et al. (2025) · arXiv

Ethics and Social Impacts of AIMulti-Agent Systems and Negotiation

Cited by 305

Online learning about other agents in a dynamic multiagent system

Hu, J., & Wellman, M. P. (1998) · Proceedings of the second international conference on Autonomous agents - AGENTS '98

Multi-Agent Systems and NegotiationReinforcement Learning in Robotics

Cited by 84

Conjectural Equilibrium in Multiagent Learning

Wellman, M. P., & Hu, J. (1998) · Machine Learning

Game Theory and ApplicationsReinforcement Learning in Robotics

Cited by 75

Market Manipulation: An Adversarial Learning Framework for Detection and Evasion

Wang, X., & Wellman, M. P. (2020) · Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 13

Exceptional Data Quality Using Intelligent Matching and Retrieval

Bidlack, C., & Wellman, M. P. (2010) · AI Magazine

Data Quality and ManagementInformation Retrieval and Data Mining

Cited by 5