Towards an Artificial DNA for the Use in Dynamic Environments

In the last decade, bio-inspired techniques like self-organization and emergence have been in the focus of several research projects to deal with the challenge to develop, to configure and to maintain highly distributed and embedded systems. In biology the structure and organization of a system is coded in its DNA, and several dynamic control flows are regulated by the hormone system. We adapted these concepts to embedded systems using an artificial DNA (ADNA) and an artificial hormone system (AHS). Based on these concepts, highly reliable, robust and flexible systems can be created. These properties predestine the ADNA and AHS for the use in future automotive applications. We showed in recent publications several examples for the use of the ADNAI AHS approach dealing with automotive applications running on the processors of a single distributed system of processors. In this contribution, we go one step further and demonstrate how to use the ADNA/AHS approach for applications running on the processors of different distributed systems (like driving cars) of processors which merge and separate at run-time.