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CALL FOR PAPERS
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DOCM^3AS-2011

International Joint Workshop of Data Oriented Constructive Mining and Multi-Agent Simulation (DOCMAS) and Massively Multi-Agent Systems (MMAS)

May 3, 2011

Taipei International Convention Center (TICC) in Taipei, TAIWAN
In Conjunction with AAMAS-2011

http://www.ai.soc.i.kyoto-u.ac.jp/docmas/workshop/docm3as/

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[OVERVIEW]
The primary aim of this workshop is to facilitate the collaboration among researchers on multi-agent simulation (MASim), data mining (DM), and massively multi-agent systems (MMAS). While MASim researchers have simulation and modeling technologies, DM researchers have analytical and knowledge retrieval techniques. There is the complementary relationship between MASim and DM researches. Furthermore, MMAS technologies are fundamental for reproducing/generating mega-scale complex systems, such as human society, social systems, Internet, and WWW. Therefore, 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 understand 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.

It is inevitable to think about the scale of multi-agent simulations for the constructive mining. When we try to discover practical knowledge to understand complex phenomena in human society, it is required to achieve sufficient scale of simulations to reproduce target society. MMAS technologies can provide suitable infrastructures for mega-scale social simulations which can offer practical big data and insights.

To understand mega-scale complex phenomena, technologies/methodologies for simulation, knowledge discovery, and computational modeling are required. Although MASim and MMAS 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 knowledge 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
- Massively multi-agent infrastructures
- Massively multi-sensor systems
- Crowd computing technology for MASim
- Design and analysis of massively multi-agent systems
- Mega-scale participatory technologies
- Integrating massively multi-agent systems and social worlds
- Scalability
- Applications of massively multi-agent systems
- General issues in multi-agent simulations and massively multi-agent systems


[IMPORTANT DATES]
Submission Deadline: 30 January 2011
Author Notification : 27 February 2011
Camera Ready Due: 4 March 2011
Workshop: 3 May 2011 (1-day)


[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 correctness.
Authors can submit either full papers (no longer than 16 pages) or short papers (no longer than 8 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=docm3as2011

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


[PUBLICATION]
The proceedings of DOCM3AS will be printed and distributed at the workshop.
It is planned to publish revised versions of the accepted papers in an edited book as part of the Springer Lecture Notes in Computer Science (LNCS) series.


[ORGANIZING COMMITTEE] (tentative)
Aristides GIONIS
Yahoo! Research Barcelona, Spain
[E-mail] gionis [at] yahoo-inc.com

Zahia GUESSOUM
LIP6, University of Paris 6
[E-mail] zahia.guessoum [at] lip6.Fr

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

Nadeem JAMALI
Department of Computer Science, University of Saskatchewan
[E-mail] jamali [at] cs.usask.ca

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] (tentative)
- Myriam ABRAMSON, Naval Research Laboratory, USA
- Gul AGHA, University of Illinois at Urbana-Champaign, USA
- K. Suzanne BARBER, University of Texas at Austin, USA
- Tibor BOSSE, Vrije Universiteit Amsterdam, Netherlands
- Dan CORKILL, University of Massachusetts, USA
- Raj DASGUPTA, University of Nebraska at Omaha, USA
- Keith DECKER, University of Delaware, USA
- 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
- Nadia KABACHI, LIRIS, University of Lyon, France
- Toshihiro KAMISHIMA, National Institute of Advanced Industrial Science and Technology (AIST), Japan
- WooYoung KIM, Intel Inc., USA
- Yasuhiko KITAMURA, Kwansei Gakuin University, Japan
- Franziska KLUEGL, University of Wurzburg, Germany
- Vipin KUMAR, University of Minnesota, USA
- Victor R. LESSER, University of Massachusetts, USA
- Jiming LIU, Hong Kong Baptist University, Hong Kong
- Roger MAILLER, University of Tulsa, USA
- Rene MANDIAU, Universite de Valenciennes et du Hainaut Cambresis, France
- Ryusuke MASUOKA, Fujitsu Laboratories of America Inc., USA
- Hideyuki NAKASHIMA, Future University Hakodate, Japan
- Nariaki NISHINO, University of Tokyo, Japan
- Itsuki NODA, National Institute of Advanced Industrial Science and Technology (AIST), Japan
- Michael J. NORTH, Argonne National Laboratory, USA
- Akihiko OHSUGA, University of Electro-Communications, Japan
- Charlie ORTIZ, Artificial Intelligence Center, USA
- Ei-ichi OSAWA, Future University, Japan
- Mario PAOLUCCI, Institute for Cognitive Science and Technology, Italy
- Paul SCERRI, Robotics Institute, Carnegie Mellon University, USA
- Kosuke SHINODA, National Institute of Advanced Industrial Science and Technology (AIST), Japan
- Olivier SIMONIN, Universite Henri Poincare, France
- Shunsuke SOEDA, National Institute of Advanced Industrial Science and Technology (AIST), Japan
- Pang-Ning TAN, Michigan State University, USA
- Walt TRUSZKOWSKI, NASA Goddard Space Flight Center, USA
- Carlos VARELA, Rensselaer Polytechnic Institute, USA
- Hui XIONG, Rutgers The State University of New Jersey, USA
- Gaku YAMAMOTO, IBM Software Group, Japan
- Hitoshi YAMAMOTO, Rissho University, Japan
- Jung-Jin YANG, The Catholic University of Korea, Korea
- Philip S. YU, University of Illinois, USA
- Franko ZAMBONELLI, Universita' di Modena e Reggio Emilia, Italy