Coherence · COH 003
Coherence before optimality: the ISHEA EICI across micro, meso and macro scales
An opinion paper arguing that EICI = E × I / F is not a domain-specific tool but a universal index, tested from cellular bioenergetics to national development and planetary biosignatures.
This paper positions the ISHEA EICI framework as a universal coherence index in formal dialogue with Bhui et al. (2026) — "The Roots of Rationality" (MIT, NYU, Columbia, UCL, Brown). While Bhui et al. identify six adaptive dynamics across timescales but leave the constraints problem open, this paper provides the formal resolution at three scales simultaneously: (1) Micro — TACC cycle (Thinking→Assimilation→Creation→Checking) as bioenergetic decomposition of individual cognition; (2) Meso — EICI as organizational coherence instrument (ζ=0.68, panel OLS); (3) Macro — ICC (Collective Cognition Index) as population-level predictor of market, cultural, and genetic adaptive outcomes. Eight empirical cases documented. EICI operates below the No Free Lunch theorem: it measures whether adaptive machinery functions prior to any optimality judgment. Author: C.J. Pérez Pulido, ISHEA Institute, Bologna. Part of K-Model cluster: 10.17605/OSF.IO/WST24.
In the same room — Coherence
COH 001 · Coherence
34 MANAGING DESDE EL WAREHOUSE
3/4🧠 MANAGING DESDE EL WAREHOUSE 🏭 No tengo laboratorio. No tengo instrumentos. Tengo observación directa y resultados que no puedo ignorar. Llevo semanas aplicando management biofísico en un…
COH 002 · Coherence
The missing triangle: Maxwell, Shannon and Boltzmann in adaptive coherence
Proposes EICI = E × I / F as the formal criterion linking Maxwell's structured energy, Shannon's signal fidelity and Boltzmann's entropic cost: a relational index, not a physical equation.
COH 004 · Coherence
From taxonomy to calculus: EICI and the problem of adaptive rationality
A position paper answering Bhui et al. (2026): where their taxonomy of adaptive dynamics lacks a formal constraint, EICI supplies one, with the K-Model calibrated against UK Biobank data.