-------- Original-Nachricht -------- Betreff: WEIN06@AAMAS-2006 Datum: Thu, 24 Nov 2005 08:56:03 +0900 Von: Akira Namatame nama@nda.ac.jp Firma: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com
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CALL FOR PAPERS ===================================== WORKSHOP ON EMERGEBT INTELLIGENCE ON NETWORKED AGENTS (WEIN 06)
http://www.ai.sanken.osaka-u.ac.jp/ein/WEIN06.htm
IMPORTANT DATES: Paper Submission: January 15, 2006 Notifications: February 1, 2006 Camera-ready copy: March 1, 2006 Workshop: May 8, 2006
Scope and Theme:
This workshop is concerned with emergence of intelligent behaviors over networked agents and fostering the formation of an active multi-disciplinary community on Multi-agent systems and Complex Networks. We especially intend to increase the awareness of researchers in these two fields sharing the common view on combining agent-based modeling and complex networks in order to develop insight and foster predictive methodologies in studying emergent intelligence on of networked agents. Research on complex networks focuses on scale-freeness of various kind of networks. We intend to turn this into an engineering methodology to design complex agent networks. Multi-agent network dynamics involves the study of many agents, constituent components generally active ones with a simple structures and whose behavior is assumed to follow local rules, and their interactions on complex network. A basic methodology is to specify how the agents interact, and then observe emergent properties that occur at the collective level in order to discover basic principles and key mechanisms for understanding and shaping the resulting behavior on network dynamics. The hardware developments will soon make possible the construction of very large scale (one million to 100 million agents) models. The software bottleneck, what rules to write for our agents, is the primary challenge facing our research community on multi-agent. This workshop will also focus on the issue of very large-scale multi-agent systems combining the tools of complex networks
Topics of Interests:
We will invite high quality contributions on a wide variety of topics relevant to the wide research areas of Multi-agent network dynamics. We will especially cover in-depth of important areas including: - Adaptation and evolution in complex networks - Economic agents and complex networks - Emergence in complex networks - Emergent intelligence in multi-agent systems - Collected intelligence - Learning and evolution in multi-agent systems - Web dynamics as complex networks - Multi-agent based supply networks - Network-centric agent systems - Scalability in multi-agent systems - Scale-free networks - Small-world networks
Workshop Chair: Akira Namatame, National Defense Academy, Japan
Workshop Organizers: Robert Axtell, Brookings Institution, and Santa Fe Institute, USA Giorgio Fagiolo, University of Verona, Italy Satoshi Kurihara, Osaka University, Japan Hideyuki Nakashima, f Future University - Hakodate. Akira Namatame, National Defense Academy, Japan
Scientific Program Committee Members - Yukio Hayashi (JAIST, Japan) - David Green, (Monash University, Australia) - Akira Namatame (National Defense Academy, Japan) - Hideyuki Nakashima (Future University - Hakodate, Japan) - Frank Schweitzer ((Swiss Federal Institute of Technology, Zurich, Switzerland) - David Wolpert (NASA Ames Research Center, USA) - Satoshi Kurihara (Osaka Univ., Japan) - Kiyoshi Izumi (AIST, Japan) - Kensuke Fukuda (NTT Network Innovation Labs., Japan) - Hidenori Kawamura (Hokkaido Univ., Japan) - Wataru Souma (ATR, Japan) - Taisei Kaizouji (ICU, Japan) - Yutaka Matsuo (AIST, Japan) - Lada Adamic (HP Labs., USA) - Denis Phan (University of Rennes, France) - Jon Sakker (Australian Defense Academy, Australia) - Robert Stocker, (Charles Sturt University, Australia) - Robert Axtell (Santa Fe Institute, USA) - Giorgio Fagiolo (University of Verona, Verona, Italy) - Peter Mika (Free University of Amsterdam, Netherlands) - Sung-Bae Cho (Yosei University, Korea) - Dirk Heilbing (Dresden Technical University, Germany)
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