Michael Paul Wellman (born March 27, 1961) is the Richard H. Orenstein Division Chair of Computer Science and Engineering and
Lynn A. Conway Collegiate Professor of Computer Science and Engineering at the
University of Michigan
, mottoeng = "Arts, Knowledge, Truth"
, former_names = Catholepistemiad, or University of Michigania (1817–1821)
, budget = $10.3 billion (2021)
, endowment = $17 billion (2021)As o ...
, Ann Arbor.
Wellman received a PhD from the
Massachusetts Institute of Technology
The Massachusetts Institute of Technology (MIT) is a private land-grant research university in Cambridge, Massachusetts. Established in 1861, MIT has played a key role in the development of modern technology and science, and is one of the ...
in 1988 for his work in qualitative probabilistic reasoning and decision-theoretic planning. From 1988 to 1992, Wellman conducted research in these areas at the USAF's Wright Laboratory. For the past 25 years, his research has focused on computational market mechanisms and game-theoretic reasoning methods, with applications in electronic commerce, finance, and cyber-security. As Chief Market Technologist for TradingDynamics, Inc. (now part of Ariba), he designed configurable auction technology for dynamic business-to-business commerce. Wellman previously served as Chair of the ACM Special Interest Group on Electronic Commerce (SIGecom), and as Executive Editor of the Journal of Artificial Intelligence Research. He is a Fellow of the
Association for the Advancement of Artificial Intelligence
The Association for the Advancement of Artificial Intelligence (AAAI) is an international scientific society devoted to promote research in, and responsible use of, artificial intelligence. AAAI also aims to increase public understanding of artif ...
and the
Association for Computing Machinery. In 2014 Wellman won the ACM/SIGAI Autonomous Agents Research Award.
Autonomous Agents Research Award recipients
retrieved on April 3, 2015.
See also
* SIGECOM
* Mechanism design
Mechanism design is a field in economics and game theory that takes an objectives-first approach to designing economic mechanisms or incentives, toward desired objectives, in strategic settings, where players act rationally. Because it starts a ...
* Reinforcement Learning
Reinforcement learning (RL) is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward. Reinforcement learning is one of three basic machine ...
References
1961 births
Living people
People from Brooklyn
Fellows of the Association for Computing Machinery
Fellows of the Association for the Advancement of Artificial Intelligence
University of Michigan faculty
MIT School of Engineering alumni
American computer scientists
Scientists from New York (state)
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