|Overview||Areas of Specialty|
The Artificial Intelligence (AI) laboratory 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,
cognitive modeling, design, game theory, collaboration
technology, natural language processing, machine perception,
spatial reasoning, and robotics. |
Research in the AI 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 unusually diverse perspectives leads to a valuable interchange of ideas within and across research groups. Listed here are the major areas of research on AI at the University of Michigan.
|Faculty (Show All)
Adamic, Lada A.
Atkins, Ella M.
Baveja, Satinder Singh
Durfee, Edmund H
Eustice, Ryan M.
Holland, John H.
Laird, John E.
Polk, Thad A.
Scott, Clayton D
Syed, Zeeshan H.
Related Labs, Centers, and Groups
APRIL Robotics Laboratory
Center for Cognitive Architecture
Center for the Study of Complex Systems
Computational Linguistics and Information Retrieval (CLAIR) Group
Distributed Intelligent Agents Group
EPIC: A Cognitive Architecture for Computational Modeling of Human Performance
Ground Robotics Research Consortium
Michigan Mobile Phone Ensemble
PeRL: The Perceptual Robotics Laboratory
Reinforcement Learning Group
urMus - Audio and Media Interactions and Interfaces on Mobile Phones