Towards a Grounded Theory of Causation for Embodied AI. (arXiv:2206.13973v1 [cs.AI])

There exist well-developed frameworks for causal modelling, but these require
rather a lot of human domain expertise to define causal variables and perform
interventions. In order to enable autonomous agents to learn abstract causal
models through interactive experience, the existing theoretical foundations
need to be extended and clarified. Existing frameworks give no guidance
regarding variable choice / representation, and more importantly, give no
indication as to which behaviour policies or physical transformations of state
space shall count as interventions. The …

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