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Pawel Romanczuk, Humboldt University of Berlin, presents the Collective Behaviour Seminar Series on "Collective Information Processing - Interplay of self-organization and function in collective (biological) systems" Animal groups or cellular ensembles represent fascinating examples of self-organized biological systems. In contrast to non-living physical systems, self-organized biological collectives are the result of long-term evolutionary adaptations to a specific ecological niche, where collective behavior provides evolutionary benefits to individual agents. However, collective information processing is also always subject to constraints set by the interaction mechanisms and corresponding self-organized dynamical structure. My general research interest is exactly this interplay between self-organization and function in collective behavior in a variety of model systems ranging from cellular aggregates, via insect swarms to fish schools. The main methodological approach of my lab is mathematical modeling in close collaboration with experimental groups whenever possible, recently also including direct involvement in design and performance of experiments on fish in the lab and in the field. Here, however, I will focus on two modeling studies investigating the interplay between structure and biological function: 1) Attention trade-offs in flocking in complex environments under sensory/cognitive constraints, and 2) Collective decision making on networks in complex information environments. ---------------- The Centre for the advanced studies of Collective Behaviuor is a Cluster of Excellence funded by the DFG (https://www.dfg.de/en/) and located in the University of Konstanz (https://uni.kn). ---------------- Follow us on social media: Twitter: / cbehav ---------------- Lern more: https://www.exc.uni-konstanz.de/colle...