AHA!
Adaptive Heuristics and Architecture
Highlights 2023
During 2023, our research focused on developing the framework for a digital twin of the Atlantic salmon. We also worked on an innovation project on salmon appetite with VIS and published a model on hormonal effects of being parasitized.
One highlight of 2023 was the submission in November of a large paper on a framework for a digital twin of the Atlantic salmon. We review the knowledge status and algorithms for how evolution has formed fish to control decisions and set priorities for behaviour and ontogeny. Teleost body control is through genes, hormones, nerves, muscles, sensing, cognition, and behaviour, the latter being agentic, predictive, and subjective, also in a man-made environment. These are the challenges when constructing the digital
salmon. This perspective is also useful for modelling other domesticated and wild animals in Anthropocene environments. The paper is now accepted for publication in Aquaculture, Fish and Fisheries.
For us the added value of being a part of a transdisciplinary centre is most of all help in bringing basic
science into innovations.
Project overview
Project lead: Jarl Giske
Institution: University of Bergen
Publications
AHA!: Adaptive Heuristics and Architecture
- Can we compute wellbeing in animals?
Animal wellbeing is not only something people care about, it is central to how animals themselves think about their future. And we can utilize this mechanism to improve animal welfare, as well as to understand animal behaviour better.
Read the blog about the new publication.
Computational animal welfare: towards cognitive architecture models of animal sentience, emotion and wellbeing
Sergey Budaev, Tore S. Kristiansen, Jarl Giske, Sigrunn Eliassen
Jensen, Camilla Håkonsrud, Jacqueline Weidner, Jarl Giske, Christian Jørgensen, Sigrunn Eliassen & Adele Mennerat 2023. Adaptive host responses to infection can resemble parasitic manipulation. Ecology & Evolution 13:e10318. https://doi.org/10.1002/ece3.10318
Research group
The aim of the project is to model life and behaviour in digital organisms, mostly fish. By modelling physiology, cognition, genes, stimuli, environment and evolution, this research will provide knowledge about natural behaviour.
Innovation: The researchers develop mathematical models of natural behaviour applicable to aquaculture and fisheries.
Latest news from the project
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Can we compute wellbeing in animals? Jan. 26, 2021 10:42 AM
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Does the hormone system contain an ability to plan for the future? Sep. 28, 2020 8:52 AM