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Found 4 papers, 2 papers with code
Examining the causal structures of deep neural networks using information theory
Specifically, we introduce the effective information (EI) of a feedforward DNN, which is the mutual information between layer input and output following a maximum-entropy perturbation.
Falsification and consciousness
This is deeply problematic since the field's reliance on report or behavior to infer conscious experiences implies such independence, so this fragility affects many contemporary theories of consciousness.
Uncertainty and causal emergence in complex networks
The connectivity of a network conveys information about the dependencies between nodes.
Physics and Society Social and Information Networks
What caused what? A quantitative account of actual causation using dynamical causal networks
Actual causation is concerned with the question "what caused what?"
