Description
Systems attempt to establish internal control, i.e. control over their situation. Humans are no exception to this general rule. Some people aim for external control: they attempt to determine environmental behaviour. While others aim for control by finding useful synergies with the localenvironment. On the one hand, the difference between these strategies lies in the locality: one could develop local actions to find synergies, or one could attempt to influence the global system. On the other hand, the difference lies in what one tries to change. An agent could adapt its links, or try to change either the methods or the goals of its neighbours. How can we formalize these
different strategies for control? And which of these strategies functions the best? I will answer these questions by generalizing the concept of coordination in hierarchical systems, introduced by Mesarovic. I will apply this to model different strategies for control: a global one used in the theory of controllability, or local ones based on neural networks and perceptual control theory. In the last
model agents attempt to change the method of their neighbours, while in neural networks agents adapt their links. These models show that global control is difficult to obtain, while local control is easily possible. This framework can be used to develop a different way of thinking about social organization, with particular emphasis on ways of developing control through symbiosis with the local environment.
| Period | 29 Jun 2015 |
|---|---|
| Event title | 13th International Conference of Sociocybernetics : Sociocybernetics Facing Turbulent Times: Media, Politics and Societies |
| Event type | Conference |
| Location | Zaragoza, Spain |
| Degree of Recognition | International |