In conjunction with
The 2013 IEEE / WIC / ACM International Conferences on
Web Intelligence and Intelligent Agent Technology

November 17, 2013 @ Atlanta, Georgia, USA


Call for Papers



The primary aim of DOCMAS (Data-Oriented Constructive Mining and Multi-Agent Simulation) workshop is to facilitate the collaboration among researchers on multi-agent simulation (MASim) and data mining (DM). While MASim researchers have simulation & modeling technologies, DM researchers have data analysis & knowledge retrieval techniques. There are clearly complementary relationships between MASim and DM researchers. Therefore, the ultimate goal of this workshop is to create new multi-agent research area by synthesizing these different areas.

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Multi-Agent simulation is primary technology in AI. MASim methodologies/technologies are still not 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.

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 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.

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We solicit papers dealing with, but not limited to, the following topics:

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Submission Deadline: July 7, 2013 July 21, 2013
Author Notification: July 28, 2013
Camera Ready Due: August 11, 2013
DOCMAS Workshop@WI-IAT 2013: November 17, 2013

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Each submitted paper will be reviewed by two or three reviewers from program committees. Reviewers evaluate each paper based on relevance, significance, clarity, originality, and correctness.
Authors can submit a paper formatted according to IEEE CS format (see WI-IAT 2013 paper submission page). The page limit is 4 pages + 1 additional page (if authors pay additional page fee, 100 US$).
Papers must be submitted through online paper submission site.

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All papers accepted for the workshop will be included in the Workshop Proceedings published by the IEEE Computer Society Press that is indexed by EI, and will be available at the workshop.
At least one author of each accepted papers MUST register for the conference. This year, there is no separate workshop registration fee (one conference registration covers everything).

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Fujio Toriumi, Hitoshi Yamamoto, and Isamu Okada. "Effects of controllable facilitators on social media: simulation analysis using Generalized Metanorms Games"

Satoshi Kurihara, Koichi Moriyama, and Masayuki Numao, "Proposition of the context-aware application prediction mechanism for mobile devices"

Yuki Ogawa, Hitoshi Yamamoto, Kakuko Miyata, and Ken'ichi Ikeda, "Association between Selective Exposure and Attitude on Twitter"

Yuki Hirahara, Fujio Toriumi, and Toshiharu Sugawara, "Evolution of Cooperation in Meta-rewards Games on Networks of WS and BA models"

Isamu Okada and Hitoshi Yamamoto, "Adaptive Risk Choice Behavior using MAS"

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Hiromitsu HATTORI
Graduate School of Informatics, Kyoto University, Japan
[E-mail] hatto [at]

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