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.
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Qian, X.S., Yu, J.Y., Dai, R.W.: A new Discipline of Science - the Study of Open Complex Giant Systems and its Methodology. Chinese Journal of Systems Engineering & Electronics 4(2), 2–12 (1993)
Gu, J.F., Tang, X.J.: Some Developments in the Studies of Meta-Synthesis System Approach. Journal of Systems Science and Systems Engineering 12(2), 171–189 (2003)
Gu, J.F., Tang, X.J.: Meta-synthesis approach to Complex System Modeling. European Journal of Operational Research 166(33), 597–614 (2005)
Mase, K., Sumi, Y., Nishimoto, K.: Informal Conversation Environment for Collaborative Concept Formation. In: Ishida, T. (ed.) Community Computing: Collaboration over Global Information Networks, pp. 165–205. Wiley, New York (1998)
Hori, K.: A System for Aiding Creative Concept Formation. IEEE Transactions on Systems, Man and Cybernetcis 24(6), 882–893 (1994)
Nishisato, S.: Analysis of categorical data: Dual scaling and its applications, pp. 1–53. University of Toronto Press, Toronto (1980)
Liu, Y., Tang, X.: Computerized Collaborative Support for Enhancing Human’s Creativity for Networked Community. In: Deng, X., Ye, Y. (eds.) WINE 2005. LNCS, vol. 3828, pp. 545–553. Springer, Heidelberg (2005)
Ohiwa, H., Takeda, N., Kawai, K., Shiomi, A.: KJeditor: a card-handing tool for creative work support. Knowledge-Based Systems 10, 43–50 (1997)
Tang, X.J., Liu, Y.J.: A Prototype Environment for Group Argumentation. In: The Proceedings of the 3rd International Symposium on Knowledge and Systems Sciences, Shanghai, pp. 252–256 (2002)
Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, pp. 526–528. Wiley, New York (2001)
Tang, X.J., Liu, Y.J.: Exploring computerized support for group argumentation for idea generation. In: Nakamori, Y., et al. (eds.) Proceedings of the fifth International Symposium on Knowledge and Systems Sciences, Japan, pp. 296–302 (2004)
Tang, X.J., Liu, Y.J.: Computerized Support for Qualitative Meta-synthesis as Perspective Development for Complex Problem Solving. In: Adam, F., et al. (eds.) Creativity and Innovation in Decision Making and Decision Support (proceedings of IFIP WG 8.3 International Conference on Creativity and Innovation in Decision Making and Decision Support), vol. 1, pp. 432–448. Decision Support Press, London (2006)
Ackoff, R.L., Sasieni, M.W.: Fundamentals of Operations Research. John Wiley & Sons, Chichester (1968)
Tang, X.J., Nie, K., Liu, Y.J.: Meta-synthesis Approach to Exploring Constructing Comprehensive Transportation System in China. Journal of Systems Science and Systems Engineering 14(4), 476–494 (2005)
Ohsawa, Y.: Product Designed on Scenario Maps Using Pictorial KeyGraph. WSEAS Transaction on Information Science and Application 3(7), 1324–1331 (2006)
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Liu, Y., Niu, W., Gu, J. (2007). Exploring Computational Scheme of Complex Problem Solving Based on Meta-Synthesis Approach. In: Shi, Y., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2007. ICCS 2007. Lecture Notes in Computer Science, vol 4490. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72590-9_2
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DOI: https://doi.org/10.1007/978-3-540-72590-9_2
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