Formal Model

Formal models are mathematical or computational representations used to rigorously define and analyze systems, aiming to ensure correctness, safety, and efficiency. Current research emphasizes applications in autonomous systems (e.g., self-driving cars, robots), focusing on model architectures that integrate machine learning with formal verification techniques, often leveraging tools like theorem provers and model checkers. This work is significant for improving the reliability and trustworthiness of complex systems, particularly in safety-critical domains, and for advancing the development of AI-assisted model creation and analysis.