Uncertainty and causal emergence in complex networks
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Updated
Sep 6, 2021 - Jupyter Notebook
Uncertainty and causal emergence in complex networks
The dual-valued matrix Ky Fan p-k-norm is employed for causal emergence to reveal the underlying patterns and structural dependencies within complex systems.
Causa Sui engineers machine consciousness via Differentiable Causal Emergence. Its Divine Monad architecture enables autonomous "pain" detection and homeostatic self-repair using Effective Information (EI) to achieve measurable, first-principles AGI.
Does the choice of intervention distribution determine whether causal emergence is detectable? Code for SISSY 2026.
Research paper and simulations connecting causal emergence with naturalistic constitutional AI alignment.
Spectral framework for quantifying causal emergence: PCA + NIS reads the emergent scale q* straight from the Jacobian spectrum (5–158× faster), validated on 6 benchmarks and the GPT-2 IOI circuit.
Python implementation of the Causal Renormalization Group for Effective Information across coarse-graining scales.
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