ASSISIbf
Animal‌ and‌ robot‌ Societies‌ ‌Self-organise‌
and‌ Integrate‌ by‌ Social‌ Interaction‌ (bees‌ and‌ fish)‌

Evolution of Spatial Pattern Formation …

At the ECAL 2013 (12th European Conference on Artificial Life) conference in Taormina, Italy, Payam Zahadat (Karl-Franzens University Graz) presented a poster with the title ” Evolution of Spatial Pattern Formation by Autonomous Bio-Inspired Cellular Controllers”, by Payam Zahadat, Karl Crailsheim, Thomas Schmickl. The poster was about generation of spatial patterns with two different but still comparable bio-inspired controllers: AHHS (Artificial Homeostatic Hormone System) and FGRN (Fractal Gene Regulatory Network). The behaviours of the controllers with their own features were investigated and compared. The results showed that for producing the patterns in presence of implicit positional information, the complexity of FGRN controller is compensated by diffusion process of AHHS but the diffusion process acts against generating a memory that keeps the generated pattern when the positional information is removed from the system. The Proceedings of the conference, including the paper of Payam Zahadat can be downloaded at
http://mitpress.mit.edu/books/advances-artificial-life-ecal-2013
ASSISI_patterns_and_positinalInfo
At the ECAL 2013 (12th European Conference on Artificial Life) conference in Taomina, Italy, Ronald Thenius (Karl-Franzens University Graz) presented a poster written by Tobias Meister, Ronald thenius, Daniela Kengyel and Thomas Scmickl with the Title “Cooperation of two different swarms controlled by BEECLUST algorithm”. In this work the results of experiments with two interacting swarms of agents with different sensory equipment are reported, which are controlled by the BEECLUST algorithm. The question raised in this work is, to what degree, and under which conditions can these two swarms cooperate. During the described experiments it showed, that the two swarms can cooperate, independent of the ratio of number of agents of the two swarms. The authors mention, that this results will maybe lead to new applications in swarm robotics.