CausalMan: A physics-based simulator for large-scale causality

• URL: http://arxiv.org/abs/2502.12707v1
• Date: Tue, 18 Feb 2025 10:20:22 GMT
• Title: CausalMan: A physics-based simulator for large-scale causality
• Authors: Nicholas Tagliapietra, Juergen Luettin, Lavdim Halilaj, Moritz Willig, Tim Pychynski, Kristian Kersting,
• Abstract summary: We present the CausalMan simulator, modeled after a real-world production line.<n>As a contribution, we will release the CausalMan large-scale simulator.
• Score: 16.93123199555512
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: A comprehensive understanding of causality is critical for navigating and operating within today's complex real-world systems. The absence of realistic causal models with known data generating processes complicates fair benchmarking. In this paper, we present the CausalMan simulator, modeled after a real-world production line. The simulator features a diverse range of linear and non-linear mechanisms and challenging-to-predict behaviors, such as discrete mode changes. We demonstrate the inadequacy of many state-of-the-art approaches and analyze the significant differences in their performance and tractability, both in terms of runtime and memory complexity. As a contribution, we will release the CausalMan large-scale simulator. We present two derived datasets, and perform an extensive evaluation of both.

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