Formal Analysis of Accidents
Description
This Unige Leading House project aims to extend CAFAISHA, a cognitive architecture developed by Antonio Cerone (School of Science and Technology, National Laboratory Astana, Computer Science Laboratory, Kazakhstan) , to incorporate STAMP, an accident causality model extensively used at the safety critical systems research lab (IAMP, ZHAW) in industrial projects.
Key Data
Projectlead
Project team
Prof. Dr. Antonio Cerone
Project status
completed, 11/2018 - 09/2020
Funding partner
Staatssekretariat für Bildung, Forschung und Innovation SBFI
Project budget
10'000 CHF