Herzlich willkommen bei der
Gesellschaft für Ichthyologie e.V. (GfI)

Die deutschsprachige Gesellschaft für Ichthyologie e.V. (GfI) ist ein Zusammenschluss von Fischkundlern/innen (Ichthyologen/innen) und Interessierten aus allen Bereichen der Fischkunde, wie z.B. Wissenschaft, Fischerei oder Aquaristik. Im Vordergrund der Aktivitäten stehen die wissenschaftliche Beschäftigung mit Fischen und die Schaffung eines deutschsprachigen Forums für Information, Kommunikation und Publikation im Bereich der Fischkunde. Wesentliche Elemente der GfI-Aktivitäten sind die Ausrichtung der wissenschaftlichen GfI-Tagungen, die Herausgabe des Internetportals Fischfauna-Online und die Publikation von Fachbeiträgen wie dem Bulletin of Fish Biology. (Der Bezug des Bulletins of Fish Biology ist im Beitrag enthalten.)

 


Aktuelles:

Pressemitteilung "Fischbestände im Nordostatlantik: Erholung durch verbessertes Management" - Johann Heinrich von Thünen-Institut, Bundesforschungsinstitut für Ländliche Räume, Wald und Fischerei: "Nachhaltige Nutzung lebender Wildfischressourcen ist möglich, dafür müssen aber Einschränkungen eingehalten werden."

The Senckenberg Society for Nature Research intends to fill at the Department of Marine Zoology of the Senckenberg Natural History Collections in Dresden, Germany, the position of a Curator of Ichthyology: Assume responsibility for the management and curatorship of the Dresden collection of marine and
freshwater fishes with a century-old tradition; developing and expanding the Dresden fish collection with a focus on freshwater taxa; supervising the local technical assistant in Dresden; conducting mainly collection-based research on taxonomy, systematics, and phylogeny of fishes, including acquisition of grants; participate in joint research projects with a focus on South American fauna. Download Stellenausschreibung

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

This project focuses on anticipation and prediction for social interaction in both animals and robots. The interactions can be between a pair of agents or a small group. We want to explore how prediction is used to anticipate future actions of a social partner by designing computational models of internal simulations of the agent, other agents and the environment. These models will first be explored using a small number of humanoid robots in a situation of cooperation and competition. Successful models will then be transferred to the RoboFish, adapting the models to empirical data from the fish experiments. Applicants must hold a Diploma/Master’s degree in Computer Science or related sciences and should have proven skills/background in following topics: Computational modelling / Machine learning / Developmental and Bio-Robotics, Programming skills, interest in interdisciplinary collaboration, interest in performing behavioural experiments. Read more