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concept:id-integrated-information-decompositionΦID (Integrated Information Decomposition)
Recently proposed method for estimating causal emergence; applied to RL agent latent-space representations.
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- Multiscale Cognitionmembers_of
Concepts (3)
concept
- integrated information (ΦID)related_tosame_asMeasure of self-coherence; proposed to test if memories increase composite system coherence.
- Causal EmergenceimplementsCore concept: degree to which an agent exerts unique predictive power on its future; key to cognition at all scales.
- Latent-Space RepresentationsimplementsSubstrate on which causal emergence was computed across agent lifetimes; aligned with learning success.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities 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.
- 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.