Filter for Search for projects Programme area Programme areaAquatic Biodiversity in the AnthropoceneAquatic Ecosystem Services and SustainabilityDimensions of Complexity of Aquatic Systems Topic TopicAdaptation and evolutionFreshwater ecosystemsBiodiversityEnvironmental changeMultiple stressors and pollutantsWater and matter cyclesUse and managementAquaculture and aquaponicsAnglingBehavioural ecology and swarm intelligence Department DepartmentDirectorateAdministration(Dept. 1) Ecohydrology and Biogeochemistry(Dept. 2) Community and Ecosystem Ecology(Dept. 3) Plankton and Microbial Ecology(Dept. 4) Fish Biology, Fisheries and Aquaculture(Dept. 5) Evolutionary and Integrative Ecology Status Statusactivefinished Sortieren nach StartTitle Order AscDesc Apply 1 - 4 of 4 itemsTopic:Behavioural ecology and swarm intelligence Sort byStartTitle Science of Intelligence Our project aims to understand the evolution of individual and collective intelligence in fish due to size-selective harvesting (like in fisheries) and the fitness consequences using zebrafish as a model. Contact persons Tamal Roy Robert Arlinghaus Department(s) (Dept. 4) Fish Biology, Fisheries and Aquaculture Start 06/2023 End 11/2025 Topic Developing exploration behaviour We here address one of the arguably most fundamental questions associated with exploration behaviour in biological systems: how do behavioural-experiential trajectories dynamically unfold in newly born organisms? That is, when being confronted with an unknown environment, what are the exact sequences of exploration behaviours and associated experiences that real-world organisms go through, from day 1 of their life? Contact persons Max Wolf Jens Krause Department(s) (Dept. 4) Fish Biology, Fisheries and Aquaculture Start 08/2020 End 07/2023 Topic Mechanisms and functions of collective anti-predator responses Mexican waves of the Sulphur molly Contact persons David Bierbach Department(s) (Dept. 4) Fish Biology, Fisheries and Aquaculture Start 01/2019 End 12/2021 Topic The Evolution of Collective Intelligence: A Comparative Approach Groups of decision makers can integrate their independent informational states and outperform individuals (collective intelligence). However, the extent to which collective intelligence has been shaped by natural selection in response to ecological challenges is largely unknown. Contact persons Matthew James Hansen Jens Krause Department(s) (Dept. 4) Fish Biology, Fisheries and Aquaculture Start 11/2018 End 11/2020 Topic
Science of Intelligence Our project aims to understand the evolution of individual and collective intelligence in fish due to size-selective harvesting (like in fisheries) and the fitness consequences using zebrafish as a model. Contact persons Tamal Roy Robert Arlinghaus Department(s) (Dept. 4) Fish Biology, Fisheries and Aquaculture Start 06/2023 End 11/2025 Topic
Developing exploration behaviour We here address one of the arguably most fundamental questions associated with exploration behaviour in biological systems: how do behavioural-experiential trajectories dynamically unfold in newly born organisms? That is, when being confronted with an unknown environment, what are the exact sequences of exploration behaviours and associated experiences that real-world organisms go through, from day 1 of their life? Contact persons Max Wolf Jens Krause Department(s) (Dept. 4) Fish Biology, Fisheries and Aquaculture Start 08/2020 End 07/2023 Topic
Mechanisms and functions of collective anti-predator responses Mexican waves of the Sulphur molly Contact persons David Bierbach Department(s) (Dept. 4) Fish Biology, Fisheries and Aquaculture Start 01/2019 End 12/2021 Topic
The Evolution of Collective Intelligence: A Comparative Approach Groups of decision makers can integrate their independent informational states and outperform individuals (collective intelligence). However, the extent to which collective intelligence has been shaped by natural selection in response to ecological challenges is largely unknown. Contact persons Matthew James Hansen Jens Krause Department(s) (Dept. 4) Fish Biology, Fisheries and Aquaculture Start 11/2018 End 11/2020 Topic