The aim of this project is to develop and investigate technically realizable self-organising systems,
that are designed using principles of natural self-organising systems, with a focus on
systems from social insect societies. Instead of trying to simulate or rebuild the natural systems
as good as possible it is the aim of this project to explore which changes in the technical systems
compared to the systems from nature are necessary or useful. Different communication
media and reconfigurable systems offer the chance to clearly improve the performances of the
systems with respect to their usefulness for technical applications. In this project we do fundamental
research on the basic self-organising properties of such systems. Another aim of the
project is it to show how compounds of self-organizable systems can be created that do not
exist in nature in this form and that are technically realizable and manageable. New methods
for the organisation and control of such compounds will be developed.
People:
Alexander Scheidler
Publications:
A. Brutschy, A. Scheidler, D. Merkle, M. Middendorf:
Learning from House-Hunting Ants:
Collective Decision-Making in Organic Computing Systems
Proc. 6th International Conference on Ant Colony Optimization and Swarm Intelligence (ANTS 2008), LNCS 5217, 96-107, 2008.
This paper won the Best Paper Award of ANTS 2008.
A. Scheidler, C. Blum, D. Merkle, M. Middendorf:
Emergent Sorting in Networks of Router Agents
Proc. 6th International Conference on Ant Colony Optimization and Swarm Intelligence (ANTS 2008),LNCS 5217, 299-306, 2008.
A. Scheidler, D. Merkle, M. Middendorf:
Stability and Performance of Ant Queue Inspired Task
Partitioning Methods
Theory in Biosciences, 127(2): 149-161, 2008.
A. Scheidler, D. Merkle, M. Middendorf:
Congestion Control in Ant Like Moving Agent Systems
Accepted for 2nd IFIP Conference on Biologically Inspired Collaborative Computing (BICC), Milan, Italy,
7-10 September 2008
D. Merkle, M. Middendorf, A. Scheidler:
Organic Computing and Swarm Intelligence
In C. Blum, M. Merkle (Eds.), Swarm Intelligence, Springer, 2008.
D. Merkle, M. Middendorf, A. Scheidler:
Self-Adaptive Worker-Helper Systems with
Self-Organized Task Allocation
In Rolf P. Würtz (Ed.), Organic Computing. Springer, 2008.
D. Merkle, M. Middendorf, A. Scheidler:
Self-Organized Task Allocation for Service Tasks in Computing
Systems with Reconfigurable Components
Journal of Mathematical Modelling and Algorithms, 7(2): 237-254, 2008.
A. Scheidler, D. Merkle, M. Middendorf:
Stability and Performance of Ant Queue Inspired Task Division Methods
Proc. European Conference on Complex Systems 2007 (ECCS 2007), Dresden, October 1-5, 2007.
D. Merkle, M. Middendorf, A. Scheidler
Swarm Controlled Emergence - Designing an Anti-Clustering Ant System
Proc. IEEE Swarm Intelligence Symposium, 8 pp., 2007.
D. Merkle, M. Middendorf, A. Scheidler:
Using Decentralized Clustering for Task Allocation in Networks with Reconfigurable Helper Units
Proc. International Workshop on Self-Organizing Systems 2006 (IWSOS 2006), LNCS 4124, 137-147, 2006.
A. Scheidler, D. Merkle, M. Middendorf:
Emergent Sorting Patterns and Individual Differences of Randomly Moving Ant Like Agents
Proc. 7th German Workshop on Artificial Life (GWAL-7), IOS Press, 11 pp., 2006.
D. Merkle, M. Middendorf and A. Scheidler:
Self-Organized Task Allocation for Computing Systems with Reconfigurable Components
Proc. 9th International Workshop on Nature Inspired Distributed Computing (NIDISC'06), 8 pp., 2006.
D. Merkle, M. Middendorf and A. Scheidler:
Modelling Ant Brood Tending Patterns with Cellular Automata
Journal of Cellular Automata, 2(2):183-194, 2006.
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Links:
- (SPP 1183) DFG (German Research Foundation) priority programme Organic Computing
Start of project: October 2005
Last change 11.10.2005
