 Evolving Rules to Solve Problems: The Learning Classifier Systems Way
Pier Luca LanziDipartimento di Elettronica e Informazione
Politecnico di Milano December 4th, 9h30, ROOM 1 Pier Luca Lanzi received the Laurea degree in computer science in 1994 from the Università degli Studi di Udine and the Ph.D. degree in Computer and Automation Engineering from the Politecnico di Milano in 1999. He is an associate professor at the Politecnico di Milano, Dept. of Electronics and Information. His research interests include genetic and evolutionary computation, reinforcement learning, and machine learning. Since 1997 he has been working in the field of genetics-based machine learning and learning classifier systems. He is member of the editorial board of the “Evolutionary Computation Journal” and Editor in chief of SIGEVOlution, the ACM Newsletter of SIGEVO, the Special Interest Group on Genetic and Evolutionary Computation.
 Thinkers and Thoughts: Implications of Swarm Intelligence
James KennedyUS Department of Labor
Washington, USA December 5th, 8h30, ROOM 1
James Kennedy is a social psychologist who has been working with the particle swarm algorithm since 1994. He received his Ph.D. in 1992 from the University of North Carolina, and works for a statistical agency in the US federal government in Washington, DC. He has published dozens of articles and chapters on particle swarms and related topics, in both computer-science and social-science journals and conference Proceedings. The Morgan Kaufmann/Academic Press volume, "Swarm Intelligence," by Kennedy and Russell C. Eberhart, is now in its third printing.
 Application of autonomous agents and multi-agent systems to traffic control and simulation
Ana BazzanFederal University of Rio Grande do Sul
Brazil December 6th, 8h30, ROOM 1 Ana Bazzan received her PhD in Computer Science in 1997 from the Informatik Fakultät at the Univ. of Karlsruhe (IPR institute), in Karlsruhe, Germany. From 1997 to 1998, she had a postdoc research associate position in the Multi-Agent Systems Laboratory at the University of Massachusetts in Amherst, under supervision of Prof. Victor Lesser. There, she was involved in the research project "Enhancing Survivability with Distributed Coordination" (part of DARPA/ITO's Information Survivability program) on Survavibility, Intrusion Detection, and Diagnosis. In 1999 she joined the Institute of Informatics at UFRGS (Universidade Federal do Rio Grande do Sul) as an Assistant Professor. Her research group is mainly concerned with Artificial Intelligence and Multi-Agent Systems and ongoing projects include Coordination of Agents, Artificial Life, Distance Learning, BDI (Beliefs, Desire, Intentions) Formalisms, among others. Her own research interests also include: Use of Game-Theoretic Paradigms for Coordination of Agents (Minority Game, Iterated Prisoner's Dilemma, Congestion Games, etc.), Learning in MAS, Agent-based Simulation, Artificial Societies, Complex Systems, Bioinformatics, Traffic Simulation and Control, Pedestrian Simulation, Artificial Life, and Diagnosis. From April 2006 to March 2007 she had an appointment at the University of Würzburg (Germany), in the Lehrstühl VI of Prof. F. Puppe, as a fellow of the Alexander von Humboldt Stiftung.
 Neural Reinforcement Learning for Real Robot Applications
Martin LauerInstitute of Cognitive Science
University of Osnabrück, Germany December 7th, 8h30, ROOM 1 Martin Lauer studied computer science at the University of Karlsruhe. After working as researcher in the computer science departments of the universities of Karlsruhe and Dortmund he joined the Institute of Cognitive Science at the University of Osnabrück where he finished his Ph.D. in 2004. His main research areas are machine learning, data analysis, and autonomous robots. As head of the robot soccer team "Brainstormers Tribots" he won the world championships in robot soccer 2006 and 2007. |
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