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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

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