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AI Tool for Explori...
AI Tool for Exploring How Economic Activities Impact Local Ecosystems
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- Strannegård, Claes, 1962 (author)
- Göteborgs universitet,University of Gothenburg
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- Engsner, Niklas, 1964 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Lindgren, Rasmus (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Olsson, Simon, 1985 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Endler, John (author)
- Deakin University
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(creator_code:org_t)
- 2024
- 2024
- English.
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In: Lecture Notes in Networks and Systems. - 2367-3389 .- 2367-3370. ; 825, s. 690-709
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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.
Subject headings
- SAMHÄLLSVETENSKAP -- Ekonomi och näringsliv -- Nationalekonomi (hsv//swe)
- SOCIAL SCIENCES -- Economics and Business -- Economics (hsv//eng)
Keyword
- 3D terrain model
- Ecosystem simulator
- Deep reinforcement learning
- Economic activities
- Agent-based model
Publication and Content Type
- kon (subject category)
- ref (subject category)
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