Adaptive and Learning Agents Workshop (ALAg 07)

Program Chairs:

Kagan Tumer, Oregon State University
Sandip Sen, University of Tulsa
Liviu Panait, Google Inc.

Description:

This workshop will explore agent learning algorithms, with a particular emphasis on multi-agent settings where the scale and complexity of the environment require novel learning techniques. We anticipate this workshop to grow into a yearly event as it addresses an emerging multi-disciplinary research topic at the intersection of Computer Science, Control theory, and Economics. The topics of interest include but are not limited to:

• Reinforcement learning in multi agent systems
• Adaptation and learning in dynamic environments
• Evolution of agents in complex environments
• Co-evolution of agents in a multi agent setting
• Cooperative exploration
• Learning to cooperate and collaborate
• Learning trust and reputation
• Coordination in large multi agent systems
• Communication restrictions and their impact on multi agent coordination
• Team formation in multi agent systems
• Reward structure design for cooperation in multi agent systems
• Evolutionary fitness design for coordination
• Scaling learning techniques to large multi agent systems
• Coordination of heterogeneous agents
• Game theoretical analysis of multi agent systems
• Emergent behavior in multi agent systems
• Neuro control in multi agent systems
• Bio-inspired control in large multi agent systems

Applications of these methods span:

• Controlling multiple autonomous vehicles
• Managing traffic congestion
• Routing data over a network
• Controlling constellations of satellites
• Coordinating thousands of simple devices
• Managing power distribution
• Stabilizing aircraft wings
• Flying in formation
• Morphing matter: Smart structures/adaptive wings
• Coordinating (micro) air vehicles
• Managing system health
• Controlling nano/micro devices
• Managing air traffic flow

The goal of this workshop is to bring together not only scientists from different areas of computer science (e.g., agent architectures, reinforcement learning, evolutionary algorithms) but also from different fields studying similar concepts (e.g., game theory, bio-inspired control, mechanism design). This workshop will serve as an inclusive forum for the discussion on ongoing or completed work and include both theoretical and practical issues.

Venue:

ALAg07 will be held as part of the workshop program at AAMAS 2007.

For all local information, including registration details, please visit the main AAMAS 2007 website.

Program Committee:

Adrian Agogino, U. California, Santa Cruz, USA
Eduardo Alonso, City University, UK
Tucker Balch, Georgia Institute of Technology, USA
Claus Boutilier, University of Toronto, Canada
Michael Bowling, University of Alberta, Canada
Edwin De Jong, Universiteit Utrecht, Netherlands
Alan Fern, Oregon State University, USA
Amy Greenwald, Brown University, USA
Pieter Jan't Hoen, Centrum voor Wiskunde en Informatica, Netherlands
Daniel Kudenko, University of York, UK
Michael Littman, Rutgers University, USA
Sean Luke, George Mason University, USA
Akira Namatame, National Defense Academy, Japan
Ann Nowe, Vrije Universiteit Brussel, Belgium
Lynne Parker, University of Tennessee, USA
David Parkes, Harvard University, USA
Simon Parsons, Brooklyn College, USA
Enric Plaza, Institut d'Investigacio en Intelligencia Artificial, Spain
Jeffrey Rosenschein, The Hebrew University of Jerusalem, Israel
Michael Rovatsos, Centre for Intelligent Systems and their Applications, UK
Alan Schultz, Naval Research Laboratory, USA
Yoav Shoham, Stanford University, USA
Peter Stone, The University of Texas at Austin, USA
Moshe Tennenholtz, Technion, Israel
Karl Tuyls, University of Maastricht, Netherlands
Eiji Uchibe, Okinawa Institute of Science and Technology, Japan
Manuela Veloso, Carnegie Mellon University, USA
Katja Verbeeck, Vrije Universiteit Brussel, Belgium
R. Paul Wiegand, Naval Research Laboratory, USA

Important dates:

Paper Submission: Notification: Camera-ready Submission: AAMAS-2007 Workshops:

February 5, 2007 March 5, 2007 March 19, 2007 May 14-15, 2007