Workshop on Emergent Intelligence
on Networked Agents (WEIN’06)
Workshop
at the Fifth International Joint Conference on
AUTONOMOUS AGENTS AND
MULTIAGENT SYSTEMS (AAMAS 2006)
May
8-12, 2006, Date of Workshop: May 8, 2006
============================================================
We plan to
publish the post-proceedings form Springer new series “Studies
in Computational Intelligence:
“http://www.springer.com/series/7092”.
Submission
deadline: July 31, 2006
Submission deadline:
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.
============================================================
Workshop
Chair:
Akira
Namatame,
Workshop Organizers:
Robert
Axtell, Brookings Institution, and Santa Fe
Institute,
Giorgio Fagiolo, University of Verona, Italy
Satoshi Kurihara, Osaka University, Japan
Hideyuki Nakashima, Future University - Hakodate.
Akira Namatame, National Defense Academy, Japan
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 kind 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
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 systems
- Scale-free networks
- Small-world networks
- Yukio Hayashi (JAIST,
- David Green, (
- Akira Namatame (
- Hideyuki Nakashima (
- Frank Schweitzer (Swiss Federal Institute of Technology,
- David Wolpert (
- Satoshi Kurihara (Osaka Univ.,
Japan)
- Kiyoshi Izumi (AIST, Japan)
- Kensuke Fukuda (NTT Network
Innovation Labs., Japan)
- Hidenori Kawamura (Hokkaido Univ.,
Japan)
- Wataru Souma (ATR, Japan)
- Taisei Kaizouji (ICU, Japan)
- Keiki Takadama (Tokyo Institute of
- Yutaka Matsuo (AIST,
- Lada Adamic
(HP
-
Denis Phan (
- Shu-Heng Chen (
-
Jon Sakker (
-
Robert Stocker, (
- Robert Axtell (Santa Fe Institute, USA)
- Giorgio Fagiolo (University of Verona,
Verona, Italy)
-
Peter Mika (Free
-
Sung-Bae Cho (
-
Dirk Heilbing (
Submission deadline:
Notification
of acceptance: Feb 19, 2006
Each contributed paper will be peer reviewed according to AAMAS
standards.
Camera-ready deadline:
The submission should not exceed 15 pages in the Springer-Verlag LNCS
style (http://www.springer.de/comp/lncs/authors.html), either in
PostScript or PDF format.
Submit your full paper (ps or pdf, pdf is preferable) written in
English, by e-mail to wein06@ai.sanken.osaka-u.ac.jp
We plan to publish the post-proceedings form Springer new series “Studies in Computational Intelligence:
http://www.springer.com/series/7092”.
Work Shop Program
Desirable Design
of Queueing Networks Excluding Linking Costs
Yusuke Matsumura, Hidenori
Kawamura, and Azuma Ohuchi
Using an agent based simulation to
evaluate scenarios in customers' buying behaviour
Filippo Neri
Collective Intelligence of Networked Agents
Akira
Namatame
Regret-Based
Multi-Objective Planning
Abdel-Illah Mouaddib
Extracting
Users’ Interests of Web-watching Behaviors Based on Site-Keyword Graph
Tsuyoshi Murata, and Kota Saito
11:20 – 11:40
Topological aspects of protein networks
J.C. Nacher, M. Hayashida, and T. Akutsu
An Evolutionary Rulebase Based Multi-agents System
Hiroshi Ouchiyama,
Runhe Huang, and Jianhua Ma
Navigational
Information as Emergent Intelligence of Spontaneously Structuring Web Space
Takashi Ishikawa
The effects of
market structure on a heterogeneous evolving population of traders
Dan Ladley, and Seth Bullock
The Structure of
Networks are constructed by intention of node: growing network model with
multi-agent approach
Kosuke Shinoda, Yutaka Matsuo, and
Hideyuki Nakashima
Emergence and Software development Based
on a Survey of Emergence Definitions
Joris Deguet, Laurent Magnin, and Yves Demazeau
Analysis on
Transport Networks of Railway, Subway and Waterbus in
Takahiro Majima, Mitujiro Katuhara, and Keiki Takadama
Auction-Based Resource Reservation Game in
Small World
Zhixing Huang, and Yuhui
Qiu
Network as a Chaotic Dynamical System - Small
World and Large Deviations –
Syuji Miyazaki, Yasushi Nagashima,
and Kei Ejima