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Continual Causal Abstractions

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.

6 nodes5 linksoverview previewContinual Causal Abstractions
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Continual Causal Abstractions6 visible / 6 total nodes / 11 links
Co-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalWContinual Causal Abstractionspreprint / 2023AMatej ZečevićResearcherAMoritz WilligResearcherAJonas SengResearcherAFlorian Peter BuschResearcherTArtificial Intelligence22915 works
PaperSignal 105 links

Continual Causal Abstractions

preprint / 2023

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