# Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence

arXiv: https://arxiv.org/abs/1908.11779 · HTML: https://mlsanity.com/paper/1908.11779/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Aug 2019.

## Built on by (most cited first, 1 of 1)

- [Learning to Attack Powergrids with DERs](https://mlsanity.com/paper/2204.11352/) (2022)

## Abstract (arXiv)

Principles of modern cyber-physical system (CPS) analysis are based on analytical methods that depend on whether safety or liveness requirements are considered. Complexity is abstracted through different techniques, ranging from stochastic modelling to contracts. However, both distributed heuristics and Artificial Intelligence (AI)-based approaches as well as the user perspective or unpredictable effects, such as accidents or the weather, introduce enough uncertainty to warrant reinforcement-learning-based approaches. This paper compares traditional approaches in the domain of CPS modelling and analysis with the AI researcher perspective to exploring unknown complex systems.