|
|
| _ |
Computer Science Seminar Series Speaker |
| |
|
| |
 |
| |
| University of Texas, Austin |
| (SPEAKER WEBSITE) |
| |
October 16, 2009
11:00am-12:00pm
Donald Bren Hall 6011 |
|
| |
___ |
| |
 |
| ___ |
One goal of Artificial Intelligence is to enable the creation of
robust, fully autonomous agents that can coexist with us in the real
world. Such agents will need to be able to learn, both in order to
correct and circumvent their inevitable imperfections, and to keep up
with a dynamically changing world. They will also need to be able to
interact with one another, whether they share common goals, they
pursue independent goals, or their goals are in direct conflict. This
talk will present current research directions in machine learning,
multiagent reasoning, and robotics, and will advocate their
unification within concrete application domains. Ideally, new
theoretical results in each separate area will inform practical
implementations while innovations from concrete multiagent
applications will drive new theoretical pursuits, and together these
synergistic research approaches will lead us towards the goal of fully
autonomous agents.
Note: Large portions of this talk were originally presented as the
IJCAI 2007 Computers And Thought lecture. |
|
| |
|
| |
 |
| ___ |
TBA |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
© 2008-2009 Department of Computer Science School of Information and Computer Science University of California, Irvine
Website design by Kathryn Chew |
|
|