Exploring Computational Scheme of Complex Problem Solving Based on Meta-Synthesis Approach

Authors:
Yijun Liu;Wenyuan Niu;Jifa Gu
Affiliations:
Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100080, P.R. China;Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100080, P.R. China;Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100080, P.R. China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Year:
2007

Citing 2
Cited 1

Pattern Classification (2nd Edition)

Pattern Classification (2nd Edition)
Computerized collaborative support for enhancing human’s creativity for networked community

WINE'05 Proceedings of the First international conference on Internet and Network Economics

Expert Mining and Traditional Chinese Medicine Knowledge

International Journal of Knowledge and Systems Science

Quantified Score

Hi-index	0.00

Visualization

Abstract

There are many approaches to complex problem solving, depending on the nature of the problem and the people involved in the problem. In this paper, a computational scheme based on meta-synthesis approach is applied to a social problem on exploring some issues about taxis drivers. Firstly, group argumentation environment (GAE) as a computerized tool is used to facilitate expert thinking process (meeting) about the concerned topics and form scenario or hypotheses based on qualitative meta-synthesis approach. Next, six strategies of quantitative meta-synthetic system modeling are introduced and one of that is used to construct a multi-agent model which aims to analyze the relations between taxis drivers' income and their behavior response intensity. Finally, some concluding remarks and future works are given.