The Artificial Intelligence (AI) program at the University
of Michigan comprises a multidisciplinary group
of researchers conducting theoretical, experimental,
and applied investigations of intelligent systems.
Current projects include research in rational decision
making, distributed systems of multiple agents,
machine learning, reinforcement learning, cognitive
modeling, game theory, natural language processing,
machine perception, healthcare computing, and
Research in the Artificial Intelligence laboratory tends to be highly interdisciplinary, building on ideas from computer science, linguistics, psychology, economics, biology, controls, statistics, and philosophy. In pursuing this approach, laboratory faculty and students work closely with colleagues throughout the University. This collaborative environment, coupled with our diverse perspectives, leads to a valuable interchange of ideas within and across research groups.
Cognitive Architectures & Computational Cognitive Science
Human Computation and Crowdsourcing
Multiagent and Economic Systems
Natural Language Processing and Information Retrieval
Related LinksAI Lab
APRIL Robotics Laboratory
Center for the Study of Complex Systems
Collaboratory for Technology, Health, and Independence
Computational Linguistics and Information Retrieval (CLAIR) Group
Distributed Intelligent Agents Group
EPIC: A Cognitive Architecture for Computational Modeling of Human Performance
Intelligent Robotics Lab
Language and Information Technologies Lab
PeRL: The Perceptual Robotics Laboratory
Strategic Reasoning Group
Vision & Learning Lab
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CSE FacultyBanovic, Nikola
Baveja, Satinder Singh
Durfee, Edmund H
Hayes, John P.
Hero, Alfred O.
Kieras, David E.
Laird, John E.
Mower Provost, Emily
Sakallah, Karem A.
ECE FacultyBalzano, Laura
Fessler, Jeffrey A.
Hayes, John P.
Hero, Alfred O.
Sakallah, Karem A.
Scott, Clayton D
Courtesy FacultyAbney, Steven
Atkins, Ella M.
Eustice, Ryan M.
Newman, Mark W