Complex Adaptive Socio-Technical Systems Theory View of Ubiquitous Computing Systems Research
Ubiquitous computing (Ubicomp) researchers have been struggling to realize global ubiquitous computing environment (GUCE). Although Ubicomp systems are studied broadly, there are only a few attempts to study Ubicomp systems based on GUCE especially from theories and high-level abstractions models. To bridge the research gap and provide an appropriate theory and model to underlie Ubicomp systems research, this paper describes the Ubicomp systems from socio-technical systems theory and complex adaptive systems theory perspective. This study gives a set of properties for Ubicomp systems as complex adaptive socio-technical systems which is subsequently used to compare three modeling approaches for Ubicomp systems modeling. Three modeling approaches are system dynamics modeling, discrete-even modeling and agent-based modeling respectively. This explorative and comparative study conclude that understanding Ubicomp systems through the complex adaptive socio-technical system theory and modeling Ubicomp systems through agent-based modeling methodology offer insight into the current complexity of Ubicomp systems.
KeywordsUbiquitous Computing Systems Complex Adaptive System Socio-Technical Systems System Dynamics Modeling Discrete-Even Modeling Agent-based Modeling
Unable to display preview. Download preview PDF.
- 8.Holland, J.: Hidden Order: How Adaptation Builds Complexity. Perseus Books, Massachusetts (1996)Google Scholar
- 9.Allen, T.F.H., Starr, T.B.: Hierarchy: Perspectives in Ecological Complexity. University of Chicago Press (1982)Google Scholar
- 10.Holland, J.H.: Emergence: From chaos to order. Oxford University Press (2000)Google Scholar
- 13.Janssen, M.A.: Agent-based modeling. In: Modeling in Ecological Economics, pp. 155–172 (2005)Google Scholar
- 14.Heath, S.K., Buss, A.: Cross-paradigm simulation modeling: challenges and successes. In: Proceedings of the Winter Simulation Conference, pp. 2788–2802 (2011)Google Scholar
- 15.Gilbert, N., Troitzsch, K.: Simulation for the social scientist. McGraw-Hill International (2005)Google Scholar
- 17.Sterman, J.D.: System dynamics: systems thinking and modeling for a complex world. In: Proceedings of the ESD Internal Symposium (2002)Google Scholar