DOCMAS 2012 - 2nd International Joint Workshop of Data Oriented Constructive Mining and Multi-Agent Simulation (DOCMAS)

DOCMAS-2012

2nd International Joint Workshop of Data Oriented Constructive Mining
and Multi-Agent
Simulation (DOCMAS)

September 3 or 4, 2012

Kuching, Sarawak, MALAYSIA
In Conjunction with PRIMA-2012

http://www.ai.soc.i.kyoto-u.ac.jp/docmas/workshop/...



[OVERVIEW]
The primary aim of this workshop is to facilitate the collaboration
among researchers on multi-
agent simulation (MASim) and data mining (DM). While MASim researchers
have simulation
and modeling technologies, DM researchers have analytical and
knowledge retrieval tech-
niques. There is the complementary relationship between MASim and DM
researches. There-
fore, the ultimate goal of this workshop is to create new multi-agent
research area by
synthesizing these different areas.

[TECHNICAL ISSUES]
Multi-Agent simulation is primary technology in AI. MASim
methodologies/technologies have
not been sufficiently mature though, its scientific significance is
getting quite high to under-
stand and analyze complex mega-scale systems, such as human societies.
Data mining is
another primary AI technology to retrieve hidden information or
knowledge from big data.
However, real data for the mining does not always include essential
elements of a target
complex system. Thus, a simulation is promising way to generate
meaningful data which is
hard to obtain in the real world.

In order to understand diverse mega-scale complex systems such as a
human brain, social
systems, Internet, and WWW, it is not enough to simply dig out
knowledges from the vein of
data. It is required to establish new "constructive data mining
process" consisting of iterative
processes of the generation of data veins and exploration of new
knowledge from them.
Therefore, we try to harness multi-agent simulation and data mining
technologies and find
the best mix of MASim and DM technologies.

To understand mega-scale complex phenomena, technologies/methodologies
for simulation,
knowledge discovery, and computational modeling are required. Although
MASim researchers
are good at working on the implementation of tools for multi-agent
simulations and the design
of computational model, they are not necessarily experts of knowledge
discovery who can
extract essentials of complex systems. On the other hand, DM
researchers are technicians
for knowledge discovery though, it is usually hard for them to
actively analyze obtained know-
ledge through simulations. Thus, the workshop should be of interest to
researchers addressing
complex systems from different viewpoints, such as modeling,
implementation, and data analysis.

[TOPICS OF INTEREST]
We solicit papers dealing with, but not limited to, the following topics:

- Multi-agent simulation
- Human behavior modeling
- Simulations on complex network
- Emergent evolution system
- Collective Intelligence
- Social and economic phenomena in MASim
- Learning from big data by MASim
- Knowledge discovery with MASim
- Crowd computing technology for MASim
- Design and analysis of massively multi-agent systems
- Mega-scale participatory technologies
- General issues in multi-agent simulations

[IMPORTANT DATES]
Submission Deadline: 29 June 2012
Author Notification: 13 July 2012
Camera Ready Due: 22 July 2012
Workshop: 3 or 4 September 2012

[SUBMISSION PROCEDURE]
Each submitted paper will be reviewed by two or three reviewers from
the program committee.
Reviewers evaluate each paper based on relevance, significance,
clarity, originality, and correct-
ness. Authors can submit either full papers (no longer than 16 pages)
in the style of Springer
Lecture Notes in Computer Science (LNCS).

Papers must be submitted through an EasyChair from the following URL:

http://www.easychair.org/conferences/?conf=docmas2...

At least one author of each accepted papers MUST register for the workshop.

[PUBLICATION]
The proceedings of DOCMAS will be printed and distributed at the
workshop. After the workshop,
papers can be included in the joint Springer Lecture Notes in Computer
Science (LNCS) series
with papers from PRICAI-2012 workshops.

[ORGANIZING COMMITTEE]
Hiromitsu HATTORI
Graduate School of Informatics, Kyoto University, Japan
[E-mail] hatto-AT-i.kyoto-u.ac.jp

Kiyoshi IZUMI
School of Engineering, University of Tokyo
[E-mail] izumi-AT-sys.t.u-tokyo.ac.jp

Hidenori KAWAMURA
Graduate School of Information Science and Technology, Hokkaido
University, Japan
[E-mail] kawamura [at] complex.eng.hokudai.ac.jp

Satoshi KURIHARA
Graduate School of Information Science and Technology, Osaka University, Japan
[E-mail] kurihara [at] ist.osaka-u.ac.jp

Fujio TORIUMI
Graduate School of Information Science, Nagoya University, Japan
[E-mail] tori [at] is.nagoya-u.ac.jp

[PROGRAM COMMITTEE]
Tibor BOSSE, Vrije Universiteit Amsterdam, Netherlands
Alexis DROGOUL, Institut de Recherche pour le Developpement, France
Satoru FUJITA, Hosei University, Japan
Tomoyuki HIGUCHI, The Institute of Statistical Mathematics, Japan
Akihiro INOKUCHI, Osaka University, Japan
Toru ISHIDA, Kyoto University, Japan
Toshihiro KAMISHIMA, National Institute of Advanced Industrial Science
and Technology (AIST), Japan
Franziska KLUEGL, University of Wurzburg, Germany
Jiming LIU, Hong Kong Baptist University, Hong Kong
Rene MANDIAU, Universite de Valenciennes et du Hainaut Cambresis, France
Hideyuki NAKASHIMA, Future University Hakodate, Japan
Nariaki NISHINO, University of Tokyo, Japan
Itsuki NODA, National Institute of Advanced Industrial Science and
Technology (AIST), Japan
Mario PAOLUCCI, Institute for Cognitive Science and Technology, Italy
Kosuke SHINODA, National Institute of Advanced Industrial Science and
Technology (AIST), Japan
Shunsuke SOEDA, National Institute of Advanced Industrial Science and
Technology (AIST), Japan
Toshiharu SUGAWARA, Waseda Univesity, Japan
Pang-Ning TAN, Michigan State University, USA
Hui XIONG, Rutgers The State University of New Jersey, USA
Gaku YAMAMOTO, IBM Software Group, Japan
Hitoshi YAMAMOTO, Rissho University, Japan
Philip S. YU, University of Illinois, USA