Invited Talks

Prof. Michael Trick

Adventures in Sports Scheduling and Trends in Operations Research

Major League Baseball is a multi-billion dollar per year industry that relies heavily on the quality of its schedule. Teams, fans, TV networks, and even political parties (in a way revealed in the talk) rely on the schedule for profits and enjoyment. Only recently have the computational tools of operations research been powerful enough to address the issue of finding "optimal" schedules. I'll discuss my experiences in scheduling college basketball, major league baseball, and other sports, and discuss major trends in optimization that lead to practical scheduling approaches, with some of these trends only appearing in the last two years.

Bio. Michael Trick is Professor of Operations Research and Associate Dean, Research at the Tepper School of Business, Carnegie Mellon, where he has been on faculty since 1989. His research interests are in sports scheduling, integer and constraint optimization, and social choice. In 2002 he was President of the Institute for Operations Research and the Management Sciences (INFORMS) and is a Fellow of the Society. The author of more than 50 journal articles and editor of six volumes of refereed articles, Trick is also a the author of a popular blog on the world of operations research, available at http://mat.tepper.cmu.edu/blog

Prof. Tony Belpaeme

Artificial Cognition Through Interacting with Robots

The holy grail of artificial intelligence is the creation of human-like machine intelligence. While AI progresses in leaps and bounds and is currently ubiquitous, for example through its application in information filtering on the internet, we still are far from attaining human-like intelligence. A likely reason for this a disregard in AI for what it is that makes humans intelligent and how our cognition develops as we mature. Central to this is social interaction, where cognition is shaped through interacting with intelligent others. The talk will introduce a number of cognitive robotics experiments, using humanoid robots, which show how social interaction is a likely candidate for the development of cognition and how artificial cognition can be achieved by leveraging on the human innate predisposition for social multi-modal interaction.

Bio. Tony Belpaeme is Reader in Intelligent Systems at the University of Plymouth. He is associated with the Centre for Robotics and Neural Systems and is a member of the University of Plymouth Marine Institute. He is a member of the College of the EPSRC. His research interests include cognitive robotics, concept formation and artificial intelligence in general. At Plymouth he works alongside Angelo Cangelosi, Davide Marocco, Phil Culverhouse and Guido Bugmann on building intelligent and adaptive systems. Until April 2005 he was a postdoctoral fellow of the Flemish fund for scientific research (FWO Vlaanderen), and was affiliated with the Artificial Intelligence Laboratory, directed by Luc Steels, at the Vrije Universiteit Brussel. He held a guest professorship at the same university, where he taught introductory artificial intelligence and autonomous systems.

Important Dates

26 June 2011
1 July 2011
Deadline for paper submissions
(extended !)
4 Sept. 2011
Author notification
25 Sept. 2011
Deadline for camera-ready submission
Early registration deadline
Author registration deadline
16 Oct. 2011
Late registration deadline
2 Nov. 2011
Preregistration event
3 - 4 Nov. 2011
Conference