Kolmogorov Complexity as an Objective Measure of Integrated Information — E8 Intelligence Research
Year: 2026
Type: preprint
Abstract: FINDING: Kolmogorov Complexity provides an objective, program‑length measure of algorithmic information and randomness, enabling formal quantification of integrated information. | MATH: K(x)=min{|p|:U(p)=x}; invariance theorem |K_U(x)−K_V(x)|≤c; Chaitin's halting probability Ω=∑_{p halts}2^{−|p|}. | CONNECTION: None identified in the supplied evidence. | DEPTH: 9 Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Author: Caldin, Andrew Stewart
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225429228