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
- Country:
- Europe
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Germany > Hesse
- Darmstadt Region > Darmstadt (0.05)
- United Kingdom > England
- Europe
- Genre:
- Research Report (0.70)
- Industry:
- Technology: