Müller-Schloer, Schmeck, and Ungerer (2011)
\(S\) is called strongly self-organising, if there are \(n\) control mechanisms \(M\).
Interactive self-organisation describes the effort to making large, self-organising technical systems transparent, malleable and controllable by human designers, decision makers and users.
von Mammen (2016)
Interactivity enriches the development at each step. But it also challenges the developer.
Simulation Loop \(\rightarrow\) Human-in-the-Loop
(Rothrock and Narayanan 2011)
Interactive simulations synchronise with our minds.
Understand systems, communicate systems, detect inconsistencies, learn about unaccounted aspects, immerse into emergency situations
Control, decision making, learning/training, analysis/debugging, refinement/engineering, empirical studies
Davison, Samavati, and Jacob (2019)
Knote et al. (2019)
Merging modelling and simulation environments reduces indirections and prepares for real-world applications
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Mammen, Sebastian von, Andreas Müller, Marc Erich Latoschik, Mario Botsch, Kirsten Brukamp, Carsten Schröder, and Michel Wacker. 2019. “VIA Vr: A Technology Platform for Virtual Adventures for Healthcare and Well-Being.” In 2019 11th International Conference on Virtual Worlds and Games for Serious Applications (Vs-Games), 1–2. IEEE.
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Rothrock, Ling, and S Narayanan. 2011. Human-in-the-Loop Simulations: Methods and Practice. Springer.
von Mammen, Sebastian. 2016. “Interactive Self-Organisation.” Habilitation Thesis, University of Augsburg.