Eyal Amir (אייל אמיר), Associate Professor

Computer Science Department, and Beckman Institute Affiliate
University of Illinois, Urbana-Champaign
Siebel Center, Rm 3314
201 N. Goodwin road
Urbana, IL 61801-2302
(UIUC Mail Code 258)
Office phone: (217) 333-8756
Office fax: (217) 265-6591
Office hours: Thu 10am-11am
Secretary: Donna Coleman, Siebel 2120
eyal@cs.uiuc.edu

My administrative web page

News

Research Abstract [Research Abstract]

Publications [Publications]

Research Group [Research Group]

Projects and Grants [Major Projects]

Q&A 4 Students [Resources for Students]

Current Classes [Current Classes]

Previous Classes

News

My work with Neil Roese about human-android interactions was featured in Scientist Live

My opinion that We Want More from Computers, but Not Too Much appeared in Forbes

I was named a Xerox Award recepient for Junior Faculty Research (2009)

I was named a Gear Award recepient for Junior Faculty Research (2008)

I was named a Beckman Institute Fellow (2007-2008)

I was named a Fellow of the Center for Advanced Studies (2007-2008)

My work with Mark Richards on Opponent Modeling in Scrabble received attention and articles in the media:

A Computer Magazine article by Linda Daily Paulson (Mar. 2007)

A Daily Illini article by Kristen Sackley (Feb. 2007)

A New Scientist Magazine article by Duncan Graham-Rowe (Jan. 2007)

Old News

Research

I work on artificial intelligence with emphasis on building applied systems that make use of knowledge when devising their actions. In this pursuit I use principled, mathematical tools from logic, probability theory, and decision theory together with insights from cognitive science. Technically, my effort focuses on automatic reasoning, representing and using commonsense knowledge and relational uncertain knowledge, autonomous agent control and architectures, planning and rational decision making, and learning explicit knowledge in dynamic settings. I am also interested in graph algorithms, building large commonsense knowledge bases, and reactive systems. I am interested in applications of those in robotics, machine learning, vision, virtual worlds, and computer games, and building human-level AI programs.