TRC A Canonical Framework for Symbolic Containment and Trust State Modulation

This paper introduces the TRC (Trust Regulation and Containment) framework, a structured approach to symbolic modulation stability and containment across cognitive, artificial, and linguistic systems. It defines a formal mathematical architecture for detecting symbolic overload, managing entropy, and ensuring trust-state coherence.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-22
DOI
https://doi.org/10.5281/zenodo.15715517
Primary Topic
Cognitive Computing and Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

TRC A Canonical Framework for Symbolic Containment and Trust State Modulation

Zenodo (CERN European Organization for Nuclear Research)
Cognitive Computing and Networks
article

TRC A Canonical Framework for Symbolic Containment and Trust State Modulation

article en

Abstract

This paper introduces the TRC (Trust Regulation and Containment) framework, a structured approach to symbolic modulation stability and containment across cognitive, artificial, and linguistic systems. It defines a formal mathematical architecture for detecting symbolic overload, managing entropy, and ensuring trust-state coherence.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 77%
Cognitive Computing and Networks
DOIOpen Access PDFOpenAlex
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TRC A Canonical Framework for Symbolic Containment and Trust State Modulation · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS