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Workshop Chair:
-Satoshi Kurihara, (Osaka University, Japan)
WEIN Steering Committee:
-Akira Namatame (National Defense Academy, Japan)
-Frank Schweitzer (ETH, Zurich, Switzerland)
-Hideyuki Nakashima (Future University-Hakodate, Japan)
-Satoshi Kurihara (Osaka University, Japan)
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Scope and Theme:
Recently, the study of intelligence emerging from interactions among many
agents has become popular. This study showed that a network structure of
the agents plays an important role. This workshop aims at the investigation
of emergent intelligence and collective properties from the networked agents.
Especially we highlight on the topics such "network formation among
agents", "influence of network structures on agents", "network-based
collective phenomena" and "emergent intelligence on networked
agents".
Especially, 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 to share the
common view on combining agent-based modeling and complex networks in order
to develop insight and foster predictive methodologies in studying emergent
intelligence of networked agents.
Generally the high-dimensional, non-linear nature of the resulting network-centric
multi-agent systems makes them difficult or impossible to analyze with
traditional methods. Agents follow local rules under complex network constraints.
The idea of combining multi-agent systems and complex networks is also
leads to the study of very large-scale multi-agent systems.
The current state-of-the art in agent-based simulation can handle mass
of agents that have a series of states that reflect the network structure
in which they are embedded. Agent interactions of all kinds are usually
structured with complex networks. Computational modeling of dynamic agent
interactions on richly structured networks is important for understanding
the sometimes counter-intuitive dynamics of such loosely coupled systems
of interactions. Yet our tools to model, understand, and predict dynamic
agent interactions and behavior on complex networks have lagged far behind.
Even recent progress in social network modeling has not yet offered us
any capability to model dynamic processes among agents who interact at
all scales on such as small-world and scale-free networks.
Research on complex networks focuses on scale-freeness of various kinds
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
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Important Areas:
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
- Collective 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 systemsq
- Scale-free networks
- Small-world networks
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Scientific Program Committee Members |
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Peter Mika (Free University of Amsterdam, Netherlands)
Akira Namatame (National Defense Academy, Japan)
Salima Hassas (Universite Claude Bernard, France)
Clemence Magnien (LIP6 – CNRS and UPMC, France)
Hidenori Kawamura (Hokkaido University, Japan)
Matthieu LATAPY (LIP6 – CNRS and UPMC, France)
Marc Barthelemy (CEA-Centre, France)
Stefano Battiston (ETH, Zurich Switzerland)
Diego Garlaschelli (University of Siena, Italy)
Kiyoshi Izumi (AIST, Japan)
Alex Arena (University of Rovira, Spain)
Yutaka Matsuo (AIST, Japan)
Anthony Dekker (DSAD, DSTO, Australia)
Satoshi Kurihara (Osaka University, Japan)
David Green (Monash University, Australia)
Taisei Kaizoji (ICU, Japan)
Frank Schweitzer (ETH, Zurich, Switzerland)
Sung-Bae Cho (Yosei niversity, Korea)
Hideyuki Nakashima (Future University - Hakodate, Japan)
Shu-Heng Chen (Cheching University, Taiwan)
Toshiharu Sugawara (Waseda University, Japan)
Denis Phan (University of Paris IV, France) |
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Important Date:
-Submission and Important Dates:
-Submission deadline: Jan 25, 2008
-Notification of acceptance: Feb 25, 2008
-Workshop (1 day): May 12 or 13, 2008
Each contributed paper will be peer reviewed according to AAMAS
standards. Submission format and other detailed information will be
available as the workshop web page at
http://ein.jssst.or.jp/ein/WEIN08.html
We plan to publish the post-proceedings form Springer new series
"Studies in Computational Intelligence:
http://www.springer.com/series/7092".
The submission should not exceed 15 pages in the Springer-Verlag LNCS
style (http://www.springer.de/comp/lncs/authors.html), either in PDF format.
Submit your full paper (pdf) written in
English, by e-mail to wein08@ai.sanken.osaka-u.ac.jp
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Modified 28/11/2007
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