This project aims at understanding collective intelligence in fish schools and in artificial robotic swarms. The main focus of the project is the dynamical adaptation of collectives – How do individuals within the collective acquire and share knowledge in complex exploration scenarios? In particular, we will consider the collective behavior of fish in a complex, collective foraging scenario, where we will investigate the role of group size and group diversity. Here, we will specifically explore collective behavior with partial, potentially conflicting or even erroneous, prior knowledge of individual agents. Finally, we will also investigate how diversity in prior knowledge interacts with consistent among-individual differences in behavior (i.e. animal personalities) within the collective. The collaborative project investigates mechanisms underlying collective exploration and problem solving of fish schools, in close collaboration with researchers working on swarm robotics. The experimental work involves training and testing of (collective) fish behavior in a laboratory setting with two different poeciliidae species: Trinidadian guppies, Poecilia reticulata, and Amazon mollies, Poecilia formosa. Read more