In conjunction with
The 2014 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology

August 11-14, 2014 @ Warsaw, Poland

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: April 25, 2014
Author Notification: May 9, 2014
Camera Ready Due: May 16, 2014
DOCMAS Workshop@WI-IAT 2014: August 11-14, 2014 (the concrete date is tbd)

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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 the IEEE 2-column format (see IEEE 2-column format and guidelines) with no less than 4 pages and no more than 8 pages.
Papers must be submitted through online paper submission site.

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Accepted papers will be published in the WI-IAT workshop proceedings by the IEEE Computer Society Press. The corresponding-authors will be notified at all time, for the submission, notification, and confirmation on the attendance. Submitting a paper to the conference, special session or workshops means that, if the paper is accepted, at least one author should attend the conference to present the paper and should then register to the conference with a regular fee.

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

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