VISTREE
Explores a language and visual environment for neurosymbolic programming, combining machine learning for data processing with logic and rule-based programming for reasoning, applied to renewable energy planning.
Website: VUB research portal Funding: Brussels Capital Region (Joint R&D, JRDIC 2025) Timeline: December 2024 – February 2025 PI: Jens Nicolay
This joint R&D project (Visual Territorial Renewable Energy) explored the design of a language and visual environment for neurosymbolic programming, combining the strengths of subsymbolic AI (machine learning and deep learning) for data processing with symbolic AI (logic and rule-based programming) for reasoning, verification, and interpretation. The resulting prototype platform, VISTREE, enables the visual creation and integration of data from multiple sources, and its analysis with AI, for renewable energy planning.