Winter School on Multi-agent Simulation

Call for paper in PDF

The main goal of the Winter School is to provide exchange of knowledge among individuals and groups interested in various aspects of Multi-agent simulation, autonomous systems. This dissemination is provided by formal state-of-the-art courses conducted by leading experts in the field and by informal meetings during the event. The school attracts both beginner and experienced researchers, encouraging cooperation between representatives of many branches of Multi-Agent Systems research community.


The topics tackled within the field are becoming increasingly important due to ubiquity of distributed systems, including Internet of Things, intelligent buildings and cities, autonomous robots, etc. A typical course is 1-2 hours long and provides a general introduction to the selected topic followed by in-depth exposition of recent and relevant contributions. All participants must pre-register to attend the school. Please follow the registration information on IES 2017 website ( Click here ).


The deadline for registration is Nov. 10, 2017.

Lead Instructors

Akira Namatame, NDA, Japan.  

Hiroshi Sato, NDA, Japan. 

Tentative Schedule

14 November, 2017 (Day 1)

08:30 - 09:00 Registration

09:00 - 09:15 Opening

09:30-12:00 Introduction to multi-agent simulation and implementation “Artisoc” social simulation tool Dr. Dang Viet Chau, National Defense Academy (NDA) and Kozo Keikaku Engineering (KKE), Japan

12:00 - 13:00 Lunch Time

13:00 - 15:00 Traffic Simulation 1

15:00 - 15:30 Coffee Break

15:30 - 17:30 Traffic Simulation 2

Hoang Thi Thu Hien, Le Quy Don Technical University, Vietnam


15 November, 2017 (Day 2)

09:00 - 12:00 Evacuation simulation

Hiroshi SATO, National Defense Academy (NDA), JAPAN