IIT's Phi Contradiction: Lossy Integration vs. Memory Persistence — E8 Intelligence Research

Q: What does this research mean for the field?

Current formalizations of Integrated Information Theory (IIT) rely on lossy integration that contradicts memory persistence, necessitating a shift to algorithmic information theory for a lossless measure. Novelty: ClaimNovelty.CONTRADICTORY. Consensus alignment: ConsensusAlignment.CHALLENGES_CONSENSUS.

Andrew Stewart Caldin

doi:10.5281/zenodo.21637068

July 28, 2026Open Access

IIT's Phi Contradiction: Lossy Integration vs. Memory Persistence — E8 Intelligence Research

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Key Points

This research explores the contradictions in Integrated Information Theory (IIT) regarding the measurement of consciousness and memory consistency.
Derived mathematical formulations for Φ using effective information and alternative measures from algorithmic information theory.
Critically examined the implications of lossy integration on memory persistence.
Demonstrated that current formalizations of Φ based on lossy integration contradict the concept of continuous memory.
Highlighted the need for a lossless measure of integration using algorithmic information.

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Implication

The research reveals contradictions in Integrated Information Theory regarding memory persistence and system integration.

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Andrew Stewart Caldin (2026) studied this question.

synapsesocial.com/papers/6a6af58c60e2b924d3ea2139 https://doi.org/10.5281/zenodo.21637068

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IIT's Phi Contradiction: Lossy Integration vs. Memory Persistence — E8 Intelligence Research

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Discussion

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IIT's Phi Contradiction: Lossy Integration vs. Memory Persistence — E8 Intelligence Research

Key Points

No abstract yet

Implication

Discussion

Cite This Study

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