Publikation
CausalMan: A physics-based simulator for large-scale causality
Nicholas Tagliapietra; Juergen Luettin; Lavdim Halilaj; Moritz Willig; Tim Pychynski; Kristian Kersting
In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.12707, Pages 1-32, Computing Research Repository, 2025.
Zusammenfassung
A comprehensive understanding of causality is
critical for navigating and operating within to-
day’s complex real-world systems. The absence
of realistic causal models with known data gen-
erating processes complicates fair benchmarking.
In this paper, we present the CausalMan simula-
tor, 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.