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

摘要

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.