The selection committee for the ACM/SIGAI Autonomous Agents Research Award is pleased to announce that Prof. Michael Wellman of the University of Michigan is the recipient of the 2014 award. Prof. Wellman has had a profound and broad impact across an array of research challenges in autonomous agents and multiagent systems. Prof. Wellman’s contributions range from his pioneering work that helped introduce economic paradigms in multiagent systems, to significant contributions to computational game theory and electronic commerce, including mechanism design and market-based systems. Additionally, Prof. Wellman played an instrumental role in launching the annual Trading Agent Competition (TAC), one of the oldest and most well-known research competitions in multi-agent systems.
