| Project title: | Design Methods for Self-Organizing Systems |
| Project acronym: | DEMESOS |
The behavior of a self-organizing system (SOS) is typically defined by the local interaction rules of the components. While this emergent behavior typically is very flexible, i.e., working at different scales being robust against disturbances and failures, there exists no straight-forward way for the design of these rules so that the overall system shows the desired properties. The try and error methods, even when being improved using notions such as the "friction" between two components often suffer from counter-intuitive interrelationships between local rules and emergent behavior. Imitation approaches, such as the bio-inspired methods or the programming of the local behavior by analyzing an example using perfect knowledge are limited to the cases where an appropriate example model is available. The goal of this project is to investigate on novel generic approaches for designing self-organizing systems.
The goal of this research activity is to elaborate basic concepts for a straightforward generic design process for creating self-organizing solutions, consisting of the stages modeling, simulation and iteration, validation, re-iteration or deployment.
This project is funded by the European Regional Development Fund and the Carinthian Economic Promotion Fund (KWF) under grant KWF 20214|18128|26673 within the Lakeside Labs activity.
