Session 01 Measurement and Management of Socio-Economic Systems

Abstract:The socio-economic systems consisting of many interacting agents are of complex systems. Since such systems frequently exhibit counter-intuitive behavior, it is important to measure state of a system, and its managing is a challenging issue. In order to achieve measurement and management of complicated socio-economic systems, both mathematical and computational frameworks such as mathematical modeling and data handling techniques should be advanced. This special session is intended to bring together researchers in fields of sociology, economics, networked business, auction-based systems, agent-based systems, econophysics, and sociophysics. The purpose of this special session is to review recent studies on measurement and management techniques for socio-economic systems and to exchange novel ideas among researchers.

Topics: Social Systems, Economic Systems, Networked Business, Auction-based Systems, Agent-based Systems, Financial Markets, Transportation Systems, Logistics Systems

Organizers: : Aki-Hiro Sato (Graduate School of Informatics, Kyoto University)
Eisuke Kita (Graduate School of Information Sciences, Nagoya University)
Mieko Tanaka-Yamawaki (Graduate School of Engineering, Tottori University)
Takashi Hashimoto (School of Knowledge Science, JAIST)

Recital: Please note that this special session is proposed to be held from November 4 to November 6, 2009. Unfortunately, it is difficult to arrange the session on November 7, 2009 due to some scheduling problems.

Session 02 Emergence in Complex Biomedical Systems

Brief overview of the session: Biomedical systems are typically complex: they involve a large number of interdependent entities, and their overall properties emerge from the interactions between these.
System behaviour evolves over time and, given the dynamic nature of the involved phenomena, it is non-trivial to provide a comprehensive description of such complex and adaptive systems. In particular, it is often difficult to define the importance and contribution of low-level unsupervised interactions to the overall evolution process.
To address this, a number of approaches are available. Complex networks are for instance useful in describing gene-level mechanisms, or social links and their impact in epidemic outbreaks.
Similarly, agent-based models have proved valuable in the context of immune system studies and cancer models.
The objective of this special session is to review advances in these approaches, as well as to discuss common challenges such as hybrid and multi-layer models, visualisation of complex biomedical systems, and use of parallel computing.

Keywords: Biomedical systems; Complex networks; Agent-based models; Emergence; Parallel computing; Visualisation.

Organizers: Dimitri Perrin (Centre for Scientific Computing & Complex Systems Modelling, Dublin City University, Ireland)

Session 03 Artificial Life

Brief overview of the session: : Artificial Life (ALife) is an interdisciplinary field of research that aims to understand and apply emergent dynamics of biological systems by synthesizing life-like behaviors using artificial media such as computers, robots, molecules, and so on. Especially, ALife studies have contributed to reconsider essential concepts in various biological, social, and artificial systems such as emergence and evolution of individuality, development, cognition, communication, language, cooperation, biological/social relationships, and so on, which are not straightforward to discuss using reductionism approaches. The aim of this special session is to review latest experimental, theoretical, and computational studies around ALife fields from both scientific and engineering perspectives, and to provide an interdisciplinary forum to exchange novel ideas among researchers.
Topics: T Topics of interest include, but not limited to, the following areas from both scientific and engineering perspectives: Submission: A long abstract (A4 2 pages) should be submitted to this session via the conference management system. If the paper is accepted, a camera ready manuscript of a full paper (A4 4-8 pages, two columns) needs to be submitted, which will be included in the conference proceedings.

Post publication: It is planned to republish selected papers from the conference as a special issue of International Journal of Bio-Inspired Computation

Important dates:

Organizers: :
Jun Tanimoto (Kyushu universit)
Reiji Suzuki (Nagoya university)

Contact person: Reiji Suzuki (Nagoya university)

Session 04 Complex Marketing and Consumer Behavior

Brief overview of the session:
Topics: Marketing Science, Consumer Behaior

Organizer: :
Prof. Makoto Mizuno (Meiji University)

Contact person:Prof. Makoto Mizuno (Meiji University) makoto at

Session 05 U-Mart

Brief overview of the session:
Topics: Artificial Market, Agent-Based Simulation

Organizer: :
U-Mart Organizing Committee

Contact person:Prof. Hiroshi Sato (National Defense Academy of Japna) hsato at