Robust Learning and Reasoning for Complex Event Forecasting

EVENFLOW

Robust Learning and Reasoning for Complex Event Forecasting
EVENFLOW will develop hybrid learning techniques for complex event forecasting, which combine deep learning with logic-based learning and reasoning into neurosymbolic forecasting models. The envisioned methods will combine (i) neural representation learning techniques, capable of constructing event-based features from streams of perception-level data with (ii) powerful symbolic learning and reasoning tools, that utilize such features to synthesize high-level, interpretable patterns of critical situations to be forecast.
Status
Active
Start Date
End Date
Type
European
Partners
  • NETCOMPANY–INTRASOFT(INTRA-BE),
  • NETCOMPANY–INTRASOFT SA (INTRA-LU),
  • National Center for Scientific Research “Demokritos”  (NCSR)
  • BARCELONA SUPERCOMPUTING CENTER-CENTRO NACIONAL DE SUPERCOMPUTACION (BSC)
  • DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH (DFKI)
  • EKSO SRL (Associated Partner)
  • IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE (ICL – UK)