The Second International
Workshop on 
Emergent Intelligence on
Networked Agents (WEIN'07)
Workshop
at the Sixth International Joint Conference on
AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS
(AAMAS 2007)
Date of Workshop: May 14 (Afternoon), 2007
Workshop Chair:
Hideyuki
Nakashima, Future University - Hakodate, 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, Future University - Hakodate, Japan
Akira Namatame, National Defense Academy, Japan
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
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 a network of many agents, whose
constituent components are generally active and follow only 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
Scientific Program
Committee Members
- Robert Axtell (Santa Fe Institute, USA)
- Giorgio Fagiolo (University of Verona, Verona, Italy)
- Yukio Hayashi (JAIST, Japan)
- David Green, (Monash University, Australia)
- Akira Namatame (
- Frank Schweitzer ((Swiss Federal Institute of Technology,
- Hideyuki Nakashima (
- David Wolpert (
- Satoshi Kurihara (
- Denis Phan (
- Venkat Venkatasubramanian (Purdue
University, USA)
- Kiyoshi Izumi (National Institute of Advanced Industrial Science and
Technology, Japan)
- Jon Sakker (Australian Defense Academy, Australia)
- Kensuke Fukuda (National Institute of Informatics, Japan)
- Peter Mika (Free University of Amsterdam, Netherlands)
- Hidenori Kawamura (Hokkaido Univ., Japan)
- Sung-Bae Cho (Yosei University, Korea)
- Wataru Soma (Advanced Telecommunications Research Institute International,
Japan)
- Dirk Heilbing (Dresden Technical University, Germany)
- Taisei Kaizoji (ICU, Japan)
- Yutaka Matsuo (National Institute of Advanced Industrial Science and
Technology, Japan)
- Runhe Huang (Hosei University, Japan).
Submission
and Important Dates:
Submission deadline: Feb 5, 2007
Notification of acceptance: Mar
9, 2007
Final version deadline: Mar 19, 2007
Workshop (Half-day):
May 14 (Afternoon), 2007
Each contributed paper will be peer reviewed according to AAMAS
standards.
We plan to publish the post-proceedings form Springer new series
"Studies in Computational Intelligence:
http://www.springer.com/series/7092".
Submit
your full paper (ps or pdf, pdf is preferable) written in
English,
by e-mail to wein07@ai.sanken.osaka-u.ac.jp
Please
use this format (max 15 pages):
Style file for WEIN07
(ZIP archive)
==========================================================
Workshop Program
14:15-14:25 Opening
Session I
14:25-14:55
Learning and Restructuring in a Network of
Agents
Sherief
Abdallah and Victor
14:55-15:25
Position Evaluation in Go: Self-Coordinating
Neural Agents
Eric Tschetter,
Eric Platon and Shinichi Honiden
15:25-15:55
Analyzing the Influence of Social
Networks on Knowledge Sharing
Yukihisa
FUJITA, Fujio TORIUMI and Kenichiro ISHII
15:55-16:15 Coffee Break
Session II
16:15-16:45
Estimating Information Flow Network among
Digital Documents
Kazuhiro
Kazama and Miyuki Imada
16:45-17:15
Network Evolution Model for Route Design
of Public Transport System
and its Application
Takahiro
Majima, Keiki Takadama, Daisuke Watanabe and Mitujiro Katuhara
17:15-17:45
What Can We Know about Industrial Clusters?
– by Network Motifs
Masato
Hisatake,Hiroki Matsuno and Yusuke Naito
17:45-18:00 Closing