CAUSality in multi-agEnt Systems: learning and verification (CAUSES)

NS trein

The CAUSES project will enable the design and implementation of reliable and explainable AI systems by developing computational techniques to learn, analyse, explain, and verify causal effects in multi-agent environments. These techniques can be used for traffic control and scheduling tasks. ProRail will provide data and guidance, and will be able to use the findings of this project in the form of a prototype decision support system.

Researchers

Francisco Simoes

Academic supervisors

Dr. M. (Thijs) van Ommen, Prof. Dr. M.M. Dastani, Dr. N.A. Alechina, Dr. Brian Logan

Grant funding agency and (co-)funding non-academic partners

NWO, ProRail