Definition, Lakeside Labs 2017

A self-organizing system consists of a set of distributed entities and obtains an emerging global system behavior via local interactions and external influences.

The era of pervasive computing has come: computers are embedded in everyday objects, mostly invisible to us. They are able to perform computations on their own with their embedded intelligence. Further, these computers are networked and link the real world to the virtual one with sensors and actuators. Such entities are called Cyber Physical Systems (CPS) – strongly interconnected hardware and software components, finding their application in the Internet of things, smart grids, smart mobility- and smart factory concepts. The usage of CPS and systems of CPS comes with many challenges including increased dynamics, connectivity and complexity calling for features like adaptability, scalability, robustness, self- configuration, self-healing, etc. The concept and theory of complex systems and self-organization has been researched for several decades yielding many results and publications. Scientists claim self-organization to be the new paradigm to cope with the emerging complexity of networked systems and applications.

Nevertheless, the increased requirements force to look for alternatives and the question arises: Why not exploiting concepts and strategies from self-organization coupled with swarm intelligence for designing CPS?

Systems with swarm intelligence consist of a set of agents, with local intelligence, interacting locally. Typically, approaches for swarm intelligence come from biological systems, like ant or bee colony behavior, schooling of fishes, flocking of birds, etc. As the agents follow very simple rules without a central control dictating their activities, the interactions between those agents lead to the emergence of intelligent or complex global behavior. In other words, CPS researchers need to learn how to construct and apply techniques for self- organization and swarm intelligence, their opportunities and challenges.

At the Research Days 2017, a group of international researchers will discuss how this translation between CPS, self-organization, and swarm intelligence can be achieved on a theoretical and practical basis.

About the Research Days

Important dates

  • Research Days, July 10 – 12
  • Registration due May 12

The Lakeside Research Days are organized as a three days workshop in July. It takes place at Lakeside Labs in Klagenfurt am Wörthersee, Austria, near a beautiful lake and Alps scenery. Invited experts, local professors, and young researchers discuss and elaborate ideas in the field of Self-Organizing Systems (SOS). The main emphasis of the workshop is on soliciting discussions and creating new ideas regarding topics related to self-organizing systems. The event greatly supports scientific exchange, networking, establishment of international collaborations, and joint research projects. The following video gives a nice impression of the Research Days:

Further videos can be found at the Lakeside Labs YouTube channel.
The research days have been organized in Klagenfurt since 2008. Notable results from previous Research Days have been research collaborations, several joint papers, organization of conference special sessions, and the conception and submission of joint research projects in the EU framework.