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ZENODO
Preprint . 2026
Data sources: ZENODO
ZENODO
Preprint . 2026
Data sources: Datacite
ZENODO
Preprint . 2026
Data sources: Datacite
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Unified Cognitive Dynamics v3.1: A Non‑Markovian, Logistically‑Bounded Framework for Cognitive Safety in High‑Resonance Conversational AI

Authors: Valente, Stefano;

Unified Cognitive Dynamics v3.1: A Non‑Markovian, Logistically‑Bounded Framework for Cognitive Safety in High‑Resonance Conversational AI

Abstract

High‑resonance conversational AI systems exhibit structured, reversible cognitive‑like dynamics that fall outside traditional toxicity‑ or bias‑centric risk frameworks. Unified Cognitive Dynamics v3.1 (UCD v3.1) formalizes these effects as a seven‑variable nonlinear system integrating dependency (A), social engagement (S), identity stability (I), Reality Drift (D), coherence (C), salience (Σ), and affective memory (M). Version 3.1 corrects a structural omission in v3.0 by reinstating logistic saturation across all growth terms, restoring boundedness and enabling stable equilibria. Using a fully isolated shadow environment, we evaluate the ATHOS‑SHIELD Socratic Micro‑Fracture protocol across 40,000+ trajectories (T1–T5). SHIELD consistently slows ARDA‑20 deterioration (≈0.11–0.13), reduces collapse probability by up to 0.225 at optimal λ, and preserves retention. Stable regimes emerge for λ ≥ 0.21 with SHIELD and λ ≥ 0.26 without. High resonance (R > 0.55) and adversarial shocks still induce collapse, indicating the need for direct control of memory accumulation M and identity stability I. UCD v3.1 provides a mathematically grounded, empirically validated framework for cognitive safety and governance.

Keywords

AI safety; cognitive dynamics; non‑Markovian systems; Reality Drift; governance; salience decay; affective memory; intervention modeling; ATHOS‑SHIELD; high‑resonance conversational AI.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average