3rd International Workshop on Data Oriented Constructive Mining and Multi-Agent Simulation (DOCMAS) & 7th International Workshop on Emergent Intelligence on Networked Agents (WEIN)
In Conjunction with WI/IAT-2015
held in Singapore
-> DOCMAS/WEIN-2015 Website
When we try to understand diverse 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. 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 techniques. There is the complementary relationship between MASim and DM researches so that the ultimate goal of this workshop is to create new multi-agent research area by synthesizing two different areas.
Additionally, in these years, it seems that researches on MAS has been mostly focused on agents themselves, whereas networks of agents have received relatively little attention. The rapid development of various technologies, including those in web intelligence, ubiquitous computing, sensor networks, and grid computing will lead to systems consisting of a potentially very large number of agents. Thus, it is important to pay attention not only to behaviors of single agents with limited scope, but also to emergent behaviors and intelligence coming from dynamics of the agent network, or complex structures.
Firstly, multi-Agent simulation is one of the primary technologies in Artificial Intelligence. MASim methodologies/technologies have not been sufficiently mature though, its scientific significance is getting quite high to understand and analyze complex large-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. We pursue new methodologies and technologies of multi-agent simulations in conjunction with data mining techniques. This workshop can be a core meeting for the new research area.
This time, we try to hold a joint workshop with DOCMAS and WEIN. WEIN is a active community focusing on emergent phenomena and intelligence in complex networked agents. Its activities can cover many prominent topics of multi-agent systems research such as web intelligence, ubiquitous computing, sensor networks, and grid computing. Therefore, the joint-workshop has potential for the acceleration of MAS research.
To understand large-scale complex and emergent phenomena, technologies/methodologies for reproduction, 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 and analysis for complex systems. On the other hand, data mining and complex network researchers are technician for knowledge discovery and analysis 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 implementation, modeling, and analysis. The important point is that the workshop can attract broad-ranging AI researchers by synthesizing hot research areas, multi-agent simulation, data mining, and complex network.
[TOPICS OF INTEREST]
We solicit papers dealing with, but not limited to, the following topics:
- Multi-agent simulation
- Social simulation
- Social networks
- Social and economic agents
- Systemic risk in large-scale networks
- Simulations on complex network
- Collective Intelligence
- Complex network
- Social and economic phenomena in MASim
- Emergent evolution system
- Emergence and self-organization
- Evolution system
- Human behavior modeling
- Learning from big data from MASim
- Knowledge discovery with MASim
- Cloud computing technology for MASim
- Big Data analysis
- Social media
- HPC for massively mult-agent simulation
- Cascade dynamics
- Web dynamics
- Web intelligence
Paper Submission Deadline:
July 31 August 10
Author Notification : August, 17, 2015
Camera Ready Submission Deadline: September 1, 2015
Workshop: December 6-9, 2015 (the concrete date is tbd)
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 up to 4 pages (extra payment is only available for one more extra page).
Papers must be submitted through online paper submission site.
All papers accepted for workshops will be included in the Workshop Proceedings published by the IEEE Computer Society Press that are indexed by EI, and will be available at the workshops. 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.
We will plan the post-proceedings which will be published from JACII (Journal of Advanced Computational Intelligence and Intelligent Informatics)
Satoshi KURIHARA (Co-Chair of Organizers)
Graduate School of Information Systems, The University of Electro-Communications, Japan
[E-mail] skurihara [at] uec.ac.jp
Hiromitsu HATTORI (Co-Chair of Organizers)
College of Information Science and Engineering, Ritsumeikan University, Japan
[E-mail] hatto [at] fc.ritsumei.ac.jp
School of Engineering, The University of Tokyo
[E-mail] izumi [at] sys.t.u-tokyo.ac.jp
Graduate School of Information Science and Technology, Hokkaido University, Japan
[E-mail] kawamura [at] complex.eng.hokudai.ac.jp
Future University Hakodate, Japan
[E-mail] h.nakashima [at] fun.ac.jp
National Defense Academy, Japan
[E-mail] nama [at] nda.ac.jp
College of Science and Engineering, Aoyama Gakuin University, Japan
[E-mail] ohara [at] it.aoyama.ac.jp
Graduate School of Engineering, The University of Tokyo, Japan
[E-mail] tori [at] sys.t.u-tokyo.ac.jp