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John Laird Director
Introduction
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, cognitive modeling, design,
collaboration technology, natural language processing, real-time and
intelligent dynamical control, autonomous and tele-autonomous robotic
systems, computer vision, and digital libraries.
Research
Research in the AI laboratory tends to be highly interdisciplinary,
building on ideas from computer science, linguistics, psychology,
economics, biology, controls, 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.
The long-term goal of much research at the AI laboratory is to develop
autonomous agents capable of behaving effectively in physical and software
environments. Effective behavior requires integration of many
capabilities. Research toward this goal aims to construct agents that can:
- use and direct their sensory and communicative mechanisms to gather
information about their environments and each other;
- represent and reason about the world they inhabit;
- plan actions that are effective despite being undertaken in
incompletely understood and dynamically changing environments;
- reason about how best to balance competing goals of choosing actions
that are effective and safe, while doing so cheaply and quickly;
- coordinate their actions to cooperatively achieve goals and allocate
their resources effectively;
- understand instructions or other communication from humans;
- improve their performance by learning from experience.
Additional research at the laboratory focuses on methods for designing
agent interaction environments, predicting agent behavior, and tools for
evaluating effective agents.
Often the significance of breakthroughs in theory and in the laboratory
are best evaluated in the context of real-world applications. Among the
various applications currently explored by members of the AI Laboratory
are digital libraries, simulated environments for training people, user
interfaces to complex automation systems, mobile robotics for nuclear
reactor maintenance, intelligent transportation systems, Internet
auctions, information systems for K-12 education and computer games.
AI Laboratory Community
The faculty and graduate students of the Artificial Intelligence
Laboratory are housed in the Advanced
Technology Laboratories Building, on
the University's North Campus. Despite their varied interests, the
members shared sense of adventurous research draws them together. This
sense of common purpose is facilitated by the Lab's emphasis on moving
graduate students into active research as soon as possible.
Facilities
The AI Lab utilizes a variety of UNIX, Macintosh, and Intel-based
workstations to support the research and activities of its faculty,
students and staff. High speed fiber-optic and FastEthernet communications
networks tie the Lab equipment seamlessly into the department and college
computing environments. Three high-speed laser printers and a Tektronix
color laser printer make hardcopy printouts look their best. The Lab has
light-controlled areas for computer vision and robotics work as well as
complete video editing facilities for production of demonstration tapes
and presentations. A full-time support staff is available to assist
members of the Lab with problems in hardware and software they may
encounter. In addition, Lab and Departmental computing support staff
operate jointly to make computing support available 24 hours a day.
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