Continual Causal Abstractions
Zečević, Matej, Willig, Moritz, Seng, Jonas, Busch, Florian Peter
–arXiv.org Artificial Intelligence
This short paper discusses continually updated causal abstractions as a potential direction of future research. The key idea is to revise the existing level of causal abstraction to a different level of detail that is both consistent with the history of observed data and more effective in solving a given task.
arXiv.org Artificial Intelligence
Jan-6-2023