Goal of the workshop

Human collective intelligence (HCI) and Artificial agent based models (ABM) have become popular in computational social system science literatures, however, until recently, there are very few opportunities for both social system scientists and computer scientists to meet together to discuss complex social decision problems such as city management, education, marketing, finance, and traffic systems. There exist so many stakeholders in social complex decision problems. To address the issues, it is indispensable to gather both social system scientists and computer scientists together. We must advance new theory and techniques to marriage HCI and ABMs.

Workshop theme

SSERV aims at providing a forum for discussions and presentations about the above problems. For this purpose, we would like to focus on such cutting-edge technologies as collective intelligence and agent-based modelling to address these problems. The workshop is supported in part by JSPS KAKENHI Grant Number 25240048, Japan (Title: Study on Social Service Decisions through Participatory Simulation Methodologies with Artificial Societies). The project will continue until 2016. Therefore, SSERV is one of good chances to promote such novel research and development activities.