AI Tool for Exploring How Economic Activities Impact Local Ecosystems

Strannegård, Claes, 1962 (author): Göteborgs universitet,University of Gothenburg

Engsner, Niklas, 1964 (author): Chalmers tekniska högskola,Chalmers University of Technology

Lindgren, Rasmus (author): Chalmers tekniska högskola,Chalmers University of Technology

Olsson, Simon, 1985 (author): Chalmers tekniska högskola,Chalmers University of Technology

(creator_code:org_t)

2024
2024
English.
In: Lecture Notes in Networks and Systems. - 2367-3389 .- 2367-3370. ; 825, s. 690-709

Related links:: https://research.cha...; show more...; https://doi.org/10.1...; show less...

Abstract Subject headings

We present an AI-based ecosystem simulator that uses three-dimensional models of the terrain and animal models controlled by deep reinforcement learning. The simulations take place in a game engine environment, which enables continuous visual observation of the ecosystem model. The terrain models are generated from geographic data with altitudes and land cover type. The animal models combine three-dimensional conformation models with animation schemes and decision-making mechanisms trained with deep reinforcement learning in increasingly complex environments (curriculum learning). We show how AI tools of this kind can be used for modeling the development of specific ecosystems with and without different forms of economic activities. In particular, we show how they might be used for modeling local biodiversity effects of land cover change, exploitation of natural resources, pollution, invasive species, and climate change.

By the author/editor: Strannegård, Cla ...; Engsner, Niklas, ...; Lindgren, Rasmus; Olsson, Simon, 1 ...; Endler, John

About the subject

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