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Using generative methods to create training scenarios for nuclear security in critical infrastructure

 Thesis in external company     Thesis abroad

keywords ARTIFICIAL INTELLIGENCE, NUCLEAR

Reference persons RAFFAELLA TESTONI

External reference persons Dr. Ahmed Nagy (SCK-CEN)

Description Procedural Content Generation (PCG) algorithms provide a technique to generate complex and diverse environments in an automated way. However, while generating content with PCG methods is often straightforward, generating meaningful content that reflects specific intentions and constraints remains challenging. We aim to explore the possibility of automated nuclear security scenario generation.

Deadline 24/05/2024      PROPONI LA TUA CANDIDATURA