The Informational Coherence Index A Framework for the Integration of Networks of Artificial Intelligence Models

Henry Matuchaki

The Informational Coherence Index A Framework for the Integration of Networks of Artificial Intelligence Models

This article presents the Informational Coherence Index Icoerdisplaystyle I_{text{coer}}Icoer, an innovative mathematical and computational model designed to quantify and optimize informational integration in networks of artificial intelligence (AI) models, with a focus on language models. Inspired by concepts from physics, thermodynamics, and information theory, Icoerdisplaystyle I_{text{coer}}Icoer is integrated into the General Theory of Unity (GTU), a theoretical framework that seeks to unify informational interactions in distributed systems. This work describes the formulation, implementation, visualization, and practical applications of Icoerdisplaystyle I_{text{coer}}Icoer, highlighting its relevance for AI ensembles, multi-agent networks, and collaborative systems such as ChatGPT, Grok, etc.

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[v1] 2025-02-25 03:43:31

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