GEO-INFER develops geospatial modeling methods grounded in Active Inference. The project integrates spatial data analysis with the Active Inference framework, opening applications in ecology, urban planning, resource management, and other domains where geographic context matters.
Overview
GEO-INFER combines geospatial analysis methods — including raster data, spatial statistics, and geographic information systems — with Active Inference principles. The project explores how agents operating in spatially structured environments can be modeled and understood through the free energy framework.
Repository and Resources
GEO-INFER maintains an active GitHub repository with implementations, examples, and documentation. The project is connected to broader Active Inference implementation work in the Institute.
Participate
Contributors with backgrounds in geography, ecology, environmental science, spatial data analysis, or Active Inference modeling are welcome.