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The Third International Workshop on Emergent Intelligence on
Networked Agents (WEIN'09)
http://ein.jssst.or.jp/ein/WEIN09/wein09.html
Workshop at the Seventh International Joint Conference on
Autonomous Agents and Multiagent Systems (AAMAS 2009)
http://www.conferences.hu/AAMAS2009/
Budapest, Hungary, May 10-15, 2009
Date of Workshop: May 10 or 11 (full day workshop), 2009
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Workshop Chair:
Satoshi Kurihara, (Osaka University, Japan)
Workshop Organizers:
Akira Namatame (National Defense Academy, Japan)
Frank Schweitzer (ZTH, Zurich, Switzerland)
Hideyuki Nakashima (Future University-Hakodate, Japan)
Satoshi Kurihara (Osaka University, Japan)
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
WEIN Special Issues (Emergent Intelligence on Networked Agents):
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
http://siwn.org.uk/itssa/
After the workshop, selected papers will be published from
International Transactions on Systems Science and Applications.
>> Scope and Theme -------------------------------------------------------------
Recently, the study of intelligence emerging from interactions
among many agents has become popular. This study showed that the
network structure of the agents plays an important role in
MAS. The aim of this workshop is to investigate emergent
intelligence and collective properties from the networked
agents. In particular, we highlight topics such network formation
among agents, the influence of network structures on agents,
network-based collective phenomena, and the emergent intelligence
of networked agents.
In the current state, in the research community of MAS, it seems
that a noteworthy level to the model of agent is still high, and
the concern for the network constructed by agents is relatively
low. However, the recent rapid development of various
technologies, including those in ubiquitous telecommunication,
sensor network, and grid computing will require new systems made
of a quite large number of agents. In these situations, the view
of each agent is thus limited to its local environment, and the
efficiency of the system is significantly affected by the network
structure constructed by the agents. Thus, it is important to pay
attention to the structure and the dynamics of the network of
agents.
Currently, unfortunately, the network science research has an
affinity to complex systems research, more than MAS community, and
is especially active in Japan and Europe. As the AAMAS 2009 is
held in Europe again, we hope that this workshop will be a success
and bridge a gap between the two research communities of network
science and multi agent.
This workshop is concerned with the emergence of intelligent
behaviors amongst networked agents and with fostering an active
multi-disciplinary community on multi-agent systems and with
complex networks. We intend to increase the awareness of
researchers in these two fields to share a common view on
combining agent-based modeling and complex networks. We hope that
this view will develop insight and lead to more predictive
methodologies that can be used in the study of the 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
a large number 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. Being able to carry out computational modeling of the
interactions of dynamic agents 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 both their interactions
and behavior on complex networks have lagged far behind. Even
recent progress in social network modeling has not yet offered us
any way of modeling dynamic processes among agents who interact at
all levels, including small-world and scale-free networks.
Research on complex networks focuses on the scale-freeness of
various kinds of networks. We intend to turn this into an
engineering methodology that can be used to design complex agent
networks. Multi-agent network dynamics involves the study of many
agents with constituent components that are generally active and
that have a simple structure and their behavior is assumed to
follow local rules. A basic methodology is to specify how the
agents interact, and then observe the emergent properties that
occur at the collective level. Thus, we can discover the basic
principles and key mechanisms needed to understand and shape 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, and the decision of which rules
to write for our agents, is the primary challenge facing the
multi-agent research community. This workshop will also focus on
the issue of very large-scale multi-agent systems that combine the
tools of complex networks.
We will invite high quality contributions on a wide variety of
topics relevant to the broad research areas of multi-agent network
dynamics as well as cover important areas in depth. They include:
- 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 systems
- Scale-free networks
- Small-world networks
>> Scientific Program Committee Members (TBD) -------------------
Peter Mika (Free University of Amsterdam, Netherlands)
Akira Namatame (National Defense Academy, Japan)
Salima Hassas (Universite Claude Bernard, France)
Clemence Magnien (LIP6-C CNRS and UPMC, France)
Hidenori Kawamura (Hokkaido University, Japan)
Matthieu Latapy (LIP6-C CNRS and UPMC, France)
Marc Barthelemy (CEA-Centre, France)
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 (ZTH, Zurich, Switzerland)
Sung-Bae Cho (Yosei University, 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)
>> Submission and Important Dates ---------------------------------------
Submission deadline: Jan 25, 2009
Notification of acceptance: Feb 25, 2009
Workshop (1 day): May 10 or 11, 2009
Paper format is same as AAMAS (max. 8 pages).
Submit your full paper (pdf) written in English,
by e-mail to wein09@ai.sanken.osaka-u.ac.jp
**We plan to hold an invited talk session.
Each contributed paper will be peer reviewed in line with AAMAS
standards.
The workshop web page:
http://ein.jssst.or.jp/ein/WEIN09/wein09.html
*******NEWS********
WEIN Special Issues (Emergent Intelligence on Networked Agents):
http://siwn.org.uk/itssa/
After the workshop, selected papers will be published from
International Transactions on Systems Science and Applications.
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