Chapter Zero. Architectural Dynamics in Distributed Multi-Agent Systems

This document introduces the "Protocol of Latency," a formal framework for managing response times in non-hierarchical, distributed computational environments. By analyzing the intersection of data processing speed, systemic load, and environmental stability, the research proposes a model where latency is treated as a strategic variable for synchronization between dispersed nodes. The study outlines how self-regulating agents can optimize systemic availability by dynamically adjusting processing speeds based on the contextual significance of data flows. This approach provides a theoretical baseline for enhancing infrastructure resilience, ensuring that computational resources are allocated efficiently while maintaining operational coherence across geographically separated nodes. The document frames latency as an emergent property of multi-agent equilibrium, essential for the structural integrity of large-scale synthetic communication systems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-17
DOI
https://doi.org/10.5281/zenodo.20725336
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
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article

Chapter Zero. Architectural Dynamics in Distributed Multi-Agent Systems

ricardo moyano
Zenodo (CERN European Organization for Nuclear Research)
Modular Robots and Swarm Intelligence
article

Chapter Zero. Architectural Dynamics in Distributed Multi-Agent Systems

ricardo moyano
article en

Abstract

This document introduces the "Protocol of Latency," a formal framework for managing response times in non-hierarchical, distributed computational environments. By analyzing the intersection of data processing speed, systemic load, and environmental stability, the research proposes a model where latency is treated as a strategic variable for synchronization between dispersed nodes. The study outlines how self-regulating agents can optimize systemic availability by dynamically adjusting processing speeds based on the contextual significance of data flows. This approach provides a theoretical baseline for enhancing infrastructure resilience, ensuring that computational resources are allocated efficiently while maintaining operational coherence across geographically separated nodes. The document frames latency as an emergent property of multi-agent equilibrium, essential for the structural integrity of large-scale synthetic communication systems.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Modular Robots and Swarm Intelligence
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