A constructor theory framework models prebiotic information as physical differences and meaning as functional consequences in Casimir-Lifshitz protocell clusters.
Quantifying causal emergence
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Casimir-stabilized protocell clusters form ε-machines whose attractor states and transitions create emergent prebiotic information through physical memory rather than molecular polymers.
A practical guide that organizes seven IT measures around three questions each—what it answers in AI, suitable estimators, and dangerous misuses—complete with flowchart, table, and worked examples.
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From Physical Difference to Meaning: A Constructor-Theoretic Framework for Prebiotic Information in Casimir-Lifshitz-Coupled Protocell Clusters
A constructor theory framework models prebiotic information as physical differences and meaning as functional consequences in Casimir-Lifshitz protocell clusters.
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Emergent Information Formation in Prebiotic Protocell Clusters: A Computational Mechanics Framework of $\epsilon$-Machines and Attractor Memory
Casimir-stabilized protocell clusters form ε-machines whose attractor states and transitions create emergent prebiotic information through physical memory rather than molecular polymers.
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Information-Theoretic Measures in AI: A Practical Decision Guide
A practical guide that organizes seven IT measures around three questions each—what it answers in AI, suitable estimators, and dangerous misuses—complete with flowchart, table, and worked examples.