Richard S. Sutton
Professor, Department
of
Computing Science, University of Alberta
Principal Investigator, Reinforcement
Learning and Artificial Intelligence Lab
Chief Scientific Advisor, Alberta
Machine Intelligence Institute (Amii)
Senior Fellow, CIFAR
Department of Computing Science
3-13 Athabasca Hall
Edmonton, Alberta
Canada T6G 2E8
email rsutton@ualberta.ca or rich@richsutton.com
fax 1-780-492-1111
I am seeking to
identify general computational principles underlying what we
mean by intelligence and goal-directed behavior. I start with
the interaction between the intelligent agent and
its environment. Goals, choices, and sources of information
are all defined in terms of this interaction. In some sense it
is the only thing that is real, and from it all our sense of
the world is created. How is this done? How can interaction
lead to better behavior, better perception, better models of
the world? What are the computational issues in doing this
efficiently and in realtime? These are the sort of questions
that I ask in trying to understand what it means to be
intelligent, to predict and influence the world, to learn,
perceive, act, and think.
IJ, Technoserve, Drug Policy Alliance,
Antiwar, Downsize DC