MetaTime XII: Sociophysics of Information as an Operational Framework Overwrite, Resonance, and Multi-Node Conflict in Macro-Transducers

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Authors: Dario Ernesto Peyru
Cited by: 2
References: 2

Abstract

MetaTime XII develops a socio-physical extension of the MetaTime program in which society is modeled as a macro-transducer: a nonequilibrium network of biological transducers sharing a finite execution budget on a common rendering layer. Each node converts latent informational structure (rho_L) into executed structure (rho_I) through an execution current, paying an irreversible Landauer-type cost together with a surcharge associated with topological incompatibility and network congestion. This revised version strengthens the original theoretical framework by introducing an explicit operational layer. The core variables of the model — including execution inequality, overwrite intensity, resonance quality, and conflict load — are now reformulated as measurable or simulable proxies. The paper outlines how destructive overwrite, suppression, and non-destructive topological resonance can be mapped onto observable quantities in multi-agent systems, networked populations, and controlled experimental settings. In this way, the macro-transducer framework is moved closer to an empirically tractable socio-physics. The updated manuscript preserves the original conceptual claim that conflict and cooperation can be understood as competing protocols of concurrent execution under finite budget, while making the framework more useful for simulation, comparative analysis, and future testing. The result is a more operational and testable version of MetaTime XII, positioned at the intersection of information thermodynamics, mathematical sociophysics, active matter, and multi-agent coordination.

Fields of Study & Subjects

Opinion Dynamics and Social Influence Embodied and Extended Cognition Complex Systems and Dynamics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 April 2026
Document type
Preprint