WEIN 2010 - The Fifth International Workshop on Emergent Intelligence on Networked Agents
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AAMAS 2010 Satellite Workshop

The Fifth International Workshop on Emergent Intelligence on Networked Agents (WEIN 2010)

May 10, 2010, Toronto, Canada

Workshop Chair

Frank Schweitzer (ETH Zurich, Switzerland)

Workshop Organizers

Akira Namatame (National Defense Academy, Japan)
Frank Schweitzer (ETH Zurich, Switzerland)
Hideyuki Nakashima (Future University-Hakodate, Japan)
Satoshi Kurihara (Osaka University, Japan)

Aims and Scope

MAS and Complex Networks:

Multi Agent Systems (MAS) allow to study the emergence of systemic properties which result from the interaction of a large number of agents, rather than from single agents. Intelligence can be seen as such an emergent property. This means that the ability of a system to solve a problem, to optimize an outcome, or to adapt to a changing situation in a prospective manner may not be traced back to individual capabilities, but to the collective effort of many agents. A framework to model these MAS is provided by the complex networks approach, where agents are represented by nodes and their interactions are represented by links. Thus, the underlying network structure of a MAS plays a crucial role in explaining emergent properties. Networked agents, on the other hand, may be able to actively change this structure by forming new links or cutting existing ones. Consequently, there is not only a strong relation, but a coevolution in the dynamics of agents and their network of interactions.

The aim of this workshop is to investigate the role of networked agents in the emergence of systemic properties, notably emergent intelligence. Focus is on topics such as network formation among agents, feedback of network structures on agents dynamics, network-based collective phenomena, and emergent problem solving by networked agents.

Bridge Communities, Develop Commonalities:

Currently, it seems that research on MAS is still mostly focused on agents themselves, whereas networks of agents have received relatively little attention. The rapid development of various technologies, including those in ubiquitous computing, sensor networks, and grid computing will lead to systems consisting of a potentially very large number of agents. In these situations, the view of each agent is limited to its local environment, and the efficiency of the system is significantly affected by the network in which the agents are embedded. Thus, it is important to pay attention not only to agents themselves, but also to the structure and the dynamics of the network.

Traditionally, these topics have been addressed by researchers in the field of network science. Currently, however, network science has much more affinity to the community of complex systems research than to the one of MAS. The intention of this workshop is to change this by bridging the gap between the two research communities in complex networks and multi-agent systems.

Thus, the workshop shall contribute to the development of an active multi-disciplinary community by (i) increasing the mutual awareness of researchers in the MAS and complex network communities, (ii) building a foundation for combining agent-based modeling and complex networks, (iii) developing predictive methodologies that can be used to study the emergent intelligence of networked agents.

Overcome Limitations of Singular Approaches:

Research on complex networks focuses, among others, on the scale-free properties of various kinds of networks. The absense of a characteristic scale implies that the insights obtained can be scaled up to large systems. Such properties may be of use for the study of very large-scale MAS, where agents follow local rules under complex network constraints. Their high-dimensional, non-linear nature makes network-centric MAS difficult or impossible to analyze with traditional methods. Thus, combining MAS and complex networks could result into engineering methodologies to design large-scale complex agent networks.

So far, our capabilities to model, understand, and predict the behavior of networked agents do not fully meet the requirements of large-scale systems. In order to explain the, sometimes counter-intuitive, dynamics observed on the systemic level of large MAS, we need to better know the relation between emergent properties and the key mechanisms involved in shaping an agent's behavior. In this respect, computational models play a substantial role. The combined efforts in hardware development for simulating large MAS and the understanding of large-scale interaction models will allow us to reach the goal of developing a concise engineering methodology. The workshop is intended as an important step into this direction, by addressing the theoretical challenges of such large-scale networked agent models.

Topics of Interest

All are with respect to multi-agent systems and complex networks:

Program and Schedule

The following is the tentative program and schedule; we will update this as necessary. The workshop will take place in the Dufferin Room, Second Floor, Sheraton Centre Toronto Hotel.

08:00-17:00 Registration at AAMAS Registration Desk, Vide Area, Lower Concourse Level, Sheraton Centre Toronto Hotel
08:45-09:00 Welcome and Introduction
09:00-10:00 Invited Talk 1
Sandip Sen
Learning coordinated behavior in agent communities
10:00-10:30 Coffee Break
10:30-11:30 Invited Talk 2
Frank Dignum
Organizing agents or organized agents?
11:30-12:00 Myong-Hun Chang
Emergent Social Learning Networks in Organizations with Heterogeneous Agents
12:00-13:30 Lunch Break
13:30-14:00 Akihiro Yamashita, Hidenori Kawamura and Keiji Suzuki
Adaptive Fusion Method for User-based and Item-based Collaborative Filtering
14:00-14:30 Frank E. Walter
Trust as the Basis of Coalition Formation in Electronic Marketplaces
14:30-15:00 Floriana Gargiulo and Sylvie Huet
When Group Level is Different from the Population Level: an Adaptive Network with the Deffuant Model
15:00-15:30 Coffee Break
15:30-16:00 Andrea Apolloni and Floriana Gargiulo
Cultural Fragmentation and Innovation Diffusion in a Dynamic Scenario
16:00-16:30 Guillaume Chérel and Jean-Daniel Zucker
Mining Traces from Dynamic Complex Systems Models Simulations: an Application to the Cultaptation Social Learning Competition
16:30-17:00 Declan Mungovan, Jim Duggan and Enda Howley
A Generative Approach to Constructing Dynamic Networks with Small World Properties
17:00- Discussion and Closing

Contributed talks will have the format (25 minutes talk, 5 minutes discussion), invited talks the format (45 minutes talk, 15 minutes discussion).

Registration

Please register by using the AAMAS registration site; on this page, there are also detailed information on workshop registration. Authors must register by 12 March 2010.

There is a reduced early registration fee until 12 March 2010; the regular registration fee deadline is 9 April 2010; the late registration fee is due after 9 April 2010 and for onsite registration.

Submission and Deadlines

Please follow the guidelines of AAMAS 2010 (including the 8 page maximum) for paper submissions to WEIN 2010. Submissions will be peer reviewed in line with the standards of the main AAMAS 2010 conference.

All papers will be assembled into workshop proceedings and included with the AAMAS 2010 conference proceedings; selected contributions of the workshop will be published as regular papers in ACS - Advances in Complex Systems.

For the camera-ready versions of papers, please use the SIG-alternate style file, i.e. Option 2 of the SIG Proceedings Templates, and include the following line in your LaTeX code, filling in AUTHOR(S) and TITLE accordingly:

\toappear{AUTHOR(S): TITLE. In Frank Schweitzer, Akira Namatame,
  Hideyuki Nakashima, and Satoshi Kurihara (eds.): Proc.\ of 5th
  Int.\ Workshop on Emergent Intelligence on Networked Agents
  (WEIN 2010) at AAMAS 2010; May, 10, 2010, Toronto, Canada.}

Click here to submit your camera-ready version to EasyChair

Some important deadlines are the following:

Submission of contributions: February, 14, 2010 (EXTENDED)
Acceptance notification: March 5, 2010 (EXTENDED)
Camera-ready manuscripts: March 12, 2010 (RE-SUBMISSION OPEN)

Please note that these deadlines are strict.

Program Committee

Akira Namatame (National Defense Academy, Japan)
Anthony Dekker (DSTO, Australia)
Frank Schweitzer (ETH Zurich, Switzerland)
Frank Walter (ETH Zurich, Switzerland)
Guillaume Deffuant (Laboratoire d'Ingénierie des Systèmes Complexes, France)
Hidenori Kawamura (Hokkaido University, Japan)
Hideyuki Nakashima (Future University-Hakodate, Japan)
Kiyoshi Izumi (AIST, Japan)
Peter Dittrich (Friedrich-Schiller-University Jena, Germany)
Sandip Sen (University of Tulsa, United States)
Satoshi Kurihara (Osaka University, Japan)
Shu-Heng Chen (Cheching University, Taiwan)
Sung-Bae Cho (Yosei University, Korea)
Sven Koenig (University of Southern California, United States)
Taisei Kaizoji (ICU, Japan)
Toshiharu Sugawara (Waseda University, Japan)
Yutaka Matsuo (AIST, Japan)

History

The WEIN Workshop series started as a Japanese initiative and has been part of AAMAS regularly since 2006. Recent proceedings have appeared, e.g., in the Springer Series on Studies in Computational Intelligence or in the International Transactions on Systems Science and Applications. WEIN 2010 will be the Fifth International Workshop on Emergent Intelligence on Networked Agents. One of WEIN's core goals is to bridge between the MAS and the complex network communities.
 

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