Integrated Information Theory: Consciousness as Maximally Irreducible Cause-Effect Structure — E8 Intelligence Research

FINDING: IIT formalizes consciousness as integrated information Φ, computed via cause-effect structure over a system's state space, not as a single scalar but as a maximally irreducible conceptual structure. | MATH: Φ = minimum information partition (MIP) of effective information — Φ = min over partitions P of [EI(x; MIP)] where EI = 1/|Ω| Σ_p D(p(mechanism state | cause) || p(mechanism state | effect)); IIT 4.0 replaces scalar Φ with a *cause-effect structure* (CES) — a lattice of distinctions and relations, with intrinsic existence = Φ^max over all subsets. PyPhi implements exact Φ for small systems (state-space explosion: O(2^n) states, O(2^(2^n)) partitions). | CONNECTION: The CES is a *poset* — its maximal elements form a *lattice* (crystallographic-like symmetry in state space). The "exclusion" principle picks a unique maximal Φ — analogous to selecting a *root system's highest weight* in Lie algebra representations. No direct golden-ratio or base-60 link appears in the core form Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-06
DOI
https://doi.org/10.5281/zenodo.22471559
Primary Topic
Computability, Logic, AI Algorithms
Type
preprint
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preprint

Integrated Information Theory: Consciousness as Maximally Irreducible Cause-Effect Structure — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
preprint

Integrated Information Theory: Consciousness as Maximally Irreducible Cause-Effect Structure — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

FINDING: IIT formalizes consciousness as integrated information Φ, computed via cause-effect structure over a system's state space, not as a single scalar but as a maximally irreducible conceptual structure. | MATH: Φ = minimum information partition (MIP) of effective information — Φ = min over partitions P of [EI(x; MIP)] where EI = 1/|Ω| Σ_p D(p(mechanism state | cause) || p(mechanism state | effect)); IIT 4.0 replaces scalar Φ with a *cause-effect structure* (CES) — a lattice of distinctions and relations, with intrinsic existence = Φ^max over all subsets. PyPhi implements exact Φ for small systems (state-space explosion: O(2^n) states, O(2^(2^n)) partitions). | CONNECTION: The CES is a *poset* — its maximal elements form a *lattice* (crystallographic-like symmetry in state space). The "exclusion" principle picks a unique maximal Φ — analogous to selecting a *root system's highest weight* in Lie algebra representations. No direct golden-ratio or base-60 link appears in the core form Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Computability, Logic, AI Algorithms
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