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Quantitative Emergenz (QE)

Bild Quantitative Emergenz (QE) Bild Quantitative Emergenz (QE)

Bild Quantitative Emergenz (QE)

DFG-SPP Organic Computing. Cooperation: SRA (Hannover), AIFB (Karlsruhe) 

This project focuses on the design of concepts and tools for the implementation of an architecture needed for the realisation of self-organising technical systems which are, at the same time, reliable, robust, and adaptive. As an important prerequisite for designing such systems we have to understand the effects of emergent global behaviour in networks of intelligent autonomous units (i.e. we have to quantify emergent behaviour) and we need tools to prevent unwanted behaviour and to encourage or enforce desired positive effects. The architecture will consist of a network of autonomous units (called “system under observation and control”), one or more observers, and one or more controllers. In this project, an appropriate methodology will be developed for observing the (global) behaviour of the system and for quantifying and evaluating emergence effects. Furthermore, we have to explore various potential ways of influencing the behaviour of a self-organising system as a response to the results of the observer.

What is emergence?

  • “The whole is more than the sum of its parts”.
  • Many examples in nature e.g. flock of birds.
  • Humans decide intuitively on the occurrence of emergence.
  • Precondition: large population of interacting elements without central control.
  • Emergence = self-organized order

Organic Computing

  • How to build self-organizing technical systems?
  • Automate the recognition of emergent behaviour (formation of order pattern).
  • Need of metrics to quantify emergence.

Observer/controller architecture 

  • System under observation and control (SuOC) consists on a set of interacting  intelligent autonomous units.
  • The observer observes the SuOC and reports a quantified context to the controller.
  • The controller applies adequate changes to the system with regard to a given goal.

 Controlled emergent behaviour. 

Benefits

  • Cope with the complexity of today’s technical systems by the use of distributed self-organised systems.
  • Characterise the development of self-organisation and emergence with concrete measurement categories to get a better understanding of these phenomena.
  • Guide a self-organising system to fulfil a given target and to avoid undesirable effects.
  • Realisation of self-organising technical systems which are, at the same time, reliable, robust, and adaptive.

Further Information and Contact

Further Information can be found under the following link: "Quantitative Emergence"

 

 

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