Statistics, causality, causal modelling, mediation analysis, counterfactuals, philosophy of research, causal representation learning, ethical AI, the power of abstractions, and systems thinking
Excellent review. One thread to pull on: active inference is in a sense an extension to Pearl causal inference that is more practically applicable to complex systems, as the agent's probing of (internal and external) environment and comparing with its assumed generative model is included explicitly as part of the theory. Some (myself included) are even working on higher-order model testing and learning in active inference, using exactly the concept of abstract frames a la Hawkins.
Megapost about causality: the summary of "The Book of Why" by Pearl and Mackenzie and more ideas
Excellent review. One thread to pull on: active inference is in a sense an extension to Pearl causal inference that is more practically applicable to complex systems, as the agent's probing of (internal and external) environment and comparing with its assumed generative model is included explicitly as part of the theory. Some (myself included) are even working on higher-order model testing and learning in active inference, using exactly the concept of abstract frames a la Hawkins.