The Seventh International Workshop on Agents and Data Mining Interaction

Intersections of the Future: Using Fully Autonomous Vehicles

Peter Stone, University of Texas at Austin, USA

Talk Outline

Artificial intelligence research is ushering in a new era of sophisticated, mass-market transportation technology. While computers can already fly a passenger jet better than a trained human pilot, people are still faced with the dangerous yet tedious task of driving automobiles. Intelligent Transportation Systems (ITS) is the field of study that aims to use artificial intelligence to make transportation safer, cheaper, and more efficient. Recent advances in ITS point to a future in which vehicles themselves handle the vast majority of the driving task. Once autonomous vehicles become popular, autonomous interactions amongst *multiple* vehicles will be possible. Current methods of vehicle coordination, which are all designed to work with human drivers, will be outdated. The bottleneck for roadway efficiency will no longer be the drivers, but rather the mechanism by which those drivers' actions are coordinated. While open-road driving is a well-studied and more-or-less-solved problem, urban traffic scenarios, especially intersections, are much more challenging.

This talk will address the question: ``To what extent and how can a multiagent intersection control mechanism take advantage of the capabilities of autonomous vehicles in order to make automobile travel safer and faster?'' First, I will introduce and specify the problem of intersection management as a multiagent system and define a metric by which solutions can be evaluated. Next, I will propose a novel multiagent intersection control mechanism in which autonomous driver agents ``call ahead'' and reserve space-time in the intersection, pending the approval of an arbiter agent called an intersection manager, which is located at the intersection.

Peter Stone Bio

Dr. Peter Stone is an Alfred P. Sloan Research Fellow, Guggenheim Fellow, Fulbright Scholar, and Associate Professor in the Department of Computer Sciences at the University of Texas at Austin. He received his Ph.D in Computer Science in 1998 from Carnegie Mellon University. From 1999 to 2002 he was a Senior Technical Staff Member in the Artificial Intelligence Principles Research Department at AT&T Labs - Research. Peter's research interests include machine learning, multiagent systems, robotics, and e-commerce. In 2003, he won a CAREER award from the National Science Foundation for his research on learning agents in dynamic, collaborative, and adversarial multiagent environments. In 2004, he was named an ONR Young Investigator for his research on machine learning on physical robots. In 2007, he was awarded the prestigious IJCAI 2007 Computers and Thought award, given once every two years to the top AI researcher under the age of 35.

Unsupervised Data-Mining and Anomaly Detection

Gal Kaminka, Bar Ilian University, Israel

Gal A. Kaminka is an associate professor at the computer science department, and the brain sciences research center, at Bar Ilan University (Israel). His research expertise includes multi-agent and multi-robot systems, teamwork and coordination, behavior and plan recognition, and modeling social behavior. He has received his PhD from the University of Southern California, and spent two years as a post-doctorate fellow at Carnegie Mellon University. Today, Prof. Kaminka leads the MAVERICK research group at Bar Ilan, supervising over a dozen MSc and PhD students. He was awarded an IBM faculty award and top places at international robotics competitions. He served as the program chair of the 2008 Israeli Conference on Robotics, and the program co-chair of the 2010 Int'l Joint Conference on Autonomous Agents and Multi-Agent Systems. He is currently serving on the international executive bodies of IFAAMAS (International Foundation of Autonomous Agents and Multi-Agent Systems) and AAAI (Association for Advancement of Artificial Intelligence). Recently, he has been awarded a Harvard Radcliffe Fellowship, for the 2011-12 academic year.