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)

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WEIN Special (Emergent Intelligence on Networked Agents):
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       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.

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.

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