DOCM3AS-2011 is joint workshop of
Int. Workshop on Data Oriented Constructive Mining and Multi-Agent Simulation (DOCMAS)
Int. Workshop on Massively Multi-Agent Systems: Models, Methods, and Tools (MMAS)

May 2, 2011
Taipei, Taiwan
In conjunction with AAMAS-2011



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.

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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.

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

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Submission Deadline: 30 January 2011 15th February 2011
Author Notification: 27 February 2011
Camera Ready Due: 4 March 2011
Workshop: 2 May 2011 (1 day)

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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:

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

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The proceedings of DOCM^3AS 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.

After the workshop, some papers can be selected to be included in the joint Springer book.

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Tentative Program

30mins for each presentation (including Q&A)

14:00-14:05 Opening

14:05-15:35 1st Session

Modeling Human Behavior Selection under Environmental Subsidy Policy by Multi-Agent Simulation
Tomoko Imoto, Shin'Ya Nakano and Tomoyuki Higuchi

TaxiSim: A Massive Multiagent Simulation Platform for Taxi Fleet Operations
Shih-Fen Cheng and Duong Nguyen

Parallel Agent-based Simulator for Influenza Pandemic
Masaya Saito, Seiya Imoto, Rui Yamaguchi, Hiroki Sato, Haruka Nakada,Masahiro Kami, Satoru Miyano and Tomoyuki Higuchi

15:35-16:00 Coffee Break

16:00-17:00 2nd Session

A Hybrid Macro-Micro Pedestrians Evacuation Model to Speedup Simulation in Road Networks
Thi Ngoc Anh Nguyen, Jean Daniel Zucker, Huu Du Nguyen, Alexis Drogoul and An Vo Duc

A Unified Agent-Based Model to Analyze Organizational Deviation and Kaizen Activities
Tomomi Kobayashi, Satoshi Takahashi, Masaaki Kunigami, Atsushi Yoshikawa and Takao Terano

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

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