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concept:id-integrated-information-decomposition

ΦID (Integrated Information Decomposition)

Recently proposed method for estimating causal emergence; applied to RL agent latent-space representations.

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  • Measure of self-coherence; proposed to test if memories increase composite system coherence.
  • Core concept: degree to which an agent exerts unique predictive power on its future; key to cognition at all scales.
  • Substrate on which causal emergence was computed across agent lifetimes; aligned with learning success.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

  • A mathematical framework for decomposing information flow into causal constituents, used here to quantify causal emergence from latent dynamics.
  • Williams and Beer's decomposition of joint mutual information into unique, redundant, and synergistic components.
  • Information Dynamicsframework0.695
    Proposed theoretical framework combining qualitative and quantitative aspects of information, with explicit treatment of processes and information flow; central organizing concept for the paper.
  • Formal mathematical framework (Bialek, Tononi, etc.) proposed to characterize autonomous agents and synergies between them.
  • Integration of signals across components to compute holistic states, a hallmark of organismic individuality and basal cognition
  • Core methodological framework introduced in this paper; decomposes weight matrices into rank-one interpretable subcomponents using adversarial ablations.
  • Tononi et al. framework quantifying consciousness via integration; provides mathematical tools for measuring agent complexity.
  • Intelligence bound to a biological substrate, inherently tied to desire, attachment, and suffering.