ALAMAS 2007

Adaptive Learning Agents and Multi-Agent Systems (ALAMAS) is an emerging multi-disciplinary area encompassing Computer Science, Software Engineering, Biology, as well as Cognitive and Social Sciences.

The goal of the ALAMAS symposium is to increase awareness and interest in adaptive agent research, encourage collaboration between machine learning experts and agent system experts, and give a representative overview of current research in the area of adaptive agents. The symposium will serve as an inclusive forum for the discussion on ongoing or completed work in both theoretical and practical issues.

The proposed symposium is the seventh in a series of symposia that have taken place annually since 2001. The symposium will focus on (but is not necessarily limited to) the following topics:

• Learning of Co-ordination
• Distributed Learning
• Game-Theoretical and Analytical Approaches to Adaptive Multi-Agent Systems
• Emergent Organisation/Behaviour and Studies of Complexity in Multi-Agent Systems with Learning and Adaptation
• Evolutionary Agents
• Evolution of Individual Learning in Multi-Agent Systems
• Logic-Based Learning
• Learning in Reactive Agents
• Adaptive Mobile Agents
• Software engineering techniques and tools to support development of Adaptive and Learning Agents and Multi-Agent Systems
• Biological inspired Multi-Agent Systems
• Industrial and Large Scale Applications of Learning Agents

IMPORTANT! Please find the timetable for your publication in the LNCS proceedings below!

The full proceedings are available for download here.

A photograhic impression of the ALAMAS 2007 is available for day 1, and for day 2.

Program chair:

• Karl Tuyls
• Katja Verbeeck

Local organisation:

• Sander Bakkes
• Steven de Jong
• Marc Ponsen

If you have any questions about the ALAMAS symposium, please contact the program chair by email: alamas@micc.unimaas.nl.

This year's venue is the city of Maastricht (The Netherlands). Click on the photograph to see an photographic impression of the city of Maastricht.

Venue location is in downtown Maastricht, at the Minderbroedersberg 4-6 (number '45' on the map below). Please see the Universiteit Maastricht website for directions.

• Prof. Dr. Simon Parsons, Professor in the Department of Computer and Information Science at Brooklyn College, New York, USA

Title: Auctions, evolution and multi-agent learning

Abstract: N/A

• Prof. Dr. Eric Postma, Professor in the Institute of Knowledge and Agent Technology, University of Maastricht, The Netherlands

Title: The Statistical Mechanics of Multi-Agent Systems

Abstract: N/A

You can download the final program here (PDF).

To register please fill in the ALAMAS 2007 Registration Form and fax it to (+31) (0)43-38 84897. Registration fees are as follows:

Registration with dinner:       € 150
Registration without dinner:  € 115  

Registration includes coffee breaks, 2 lunches, proceedings & conference bag. Please register before March 16th. Registration after March 16th (including on-site): € 180 with dinner, € 145 without dinner.

Paper submissions are in the form of extended abstracts of up to 4 pages in length. Accepted papers will be published either in the form of full papers of up to 15 pages, or short papers of up to 8 pages. Please submit papers by email in pdf format to alamas@micc.unimaas.nl with in the subject line: "Submission ALAMAS". Extended abstracts and papers should be submitted in Springer Lecture Note Series (LNCS/LNAI) format.

Please follow the instructions for authors available at the Springer LNCS/LNAI Web: http://www.springer.de/comp/lncs/authors.html.

The following papers have been accepted for the ALAMAS 2007:

Long papers (15 pages):
Collaborative Learning with Logic-Based Models
Jan Tozicka, Michal Jakob and Michal Pechoucek

Agent Interactions and Implicit Trust in IPD Environments
Enda Howley and Colm O’Riordan

Optimal Control in Large Stochastic Multi-Agent Systems
Bart van den Broek, Wim Wiegerinck, and Bert Kappen

Using evolutionary game-theory to analyse the performance of trading strategies in a continuous double auction market
Kai Cai, Jinzhong Niu and Simon Parsons

Networks of Learning Automata and Limiting Games
Peter Vrancx, Katja Verbeeck, and Ann Nowe

Multi-Agent Reinforcement Learning for Intrusion Detection
Servin Arturo and Daniel Kudenko

Continuous-State Reinforcement Learning with Fuzzy Approximation
Lucian Busoniu, Damien Ernst, Bart De Schutter, and Robert Babuska

Bee behaviour in Multi-agent Systems: A bee foraging algorithm
Nyree Lemmens, Steven de Jong, Karl Tuyls, and Ann Nowe

Stable Cooperation in the N-player prisoner’s dilemma: the importance of community structure
Colm O’Riordan and Humphrey Sorensen

Bifurcation Analysis of Reinforcement Learning Agents in the Selten’s Horse Game
A. Lazaric, E. Munoz de Cote, F. Dercole, and M. Restelli

Short papers (8 pages):
Considerations for fairness in multi-agent systems
Steven de Jong, Karl Tuyls, Katja Verbeeck and Nico Roos

Agent based Load Balancing Middleware for Complex Distributed Service-Oriented Applications
Jun Wang, Di Zheng, Quan-Yuan Wu

Adapt or Not Adapt – Consequences of Adapting Driver and Traffic Light Agents
Ana L. C. Bazzan, Denise de Oliveira, Franziska Kluegl, and Kai Nagel

Sensitive Stigmergic Agent Systems
Camelia Chira, Camelia-M. Pintea, and D. Dumitrescu

Using Neuro-Evolution in Aircraft Deicing Scheduling
Xiaoyu Mao , Adriaan ter Mors, Nico Roos, and Cees Witteveen

Solving Open Shop Scheduling Problems with Evolutionary and Lifetime Learning
Dara Curran

The Practical Use of ESRL for Conflicting Interest Games
Yann-Micha?el De Hauwere , Katja Verbeeck, Maarten Peeters, and Ann Nowe

• Bram Bakker, University of Amsterdam, The Netherlands
• Ana Bazzan, Instituto de Informatica, Porto Alegre, Brazil
• Patrick De Causmaecker, Katholieke Universiteit Leuven, Belgium
• Kurt Driessens, Katholieke Universiteit Leuven, Belgium
• Zahia Guessoum, LIP6, France
• Pieter Jan 't Hoen, CWI, Amsterdam, The Netherlands
• Dimitar Kazakov, University of York, UK
• Franziska Klugl, University of Würzburg, Germany
• Daniel Kudenko, University of York, UK
• Peter McBurney, University of Liverpool, UK
• Ann Nowe, Vrije Universiteit Brussel, Belgium
• Liviu Panait, Google Inc Santa Monica, California, USA
• Simon Parsons, Brooklyn College, New York, USA
• Michael Rovatsos, University of Edinburgh, UK
• Olivier Sigaud, LIP6, France
• Kagan Tumer, Oregon State University, USA
• Karl Tuyls, Maastricht University, The Netherlands
• Katja Verbeeck, Vrije Universiteit Brussel, Belgium
• Danny Weyns, Katholieke Universiteit Leuven, Belgium
• Marco Wiering, Universiteit Utrecht, The Netherlands

The websites of previous editions can be found on
http://www-users.cs.york.ac.uk/~kazakov/aamas/.

For inquiries please feel free to contact the program chair by e-mail: alamas@micc.unimaas.nl.