Work

GyroSystem — Empirical Evidence & Rhythmic Metrics (v1.1)

Year: 2025

Type: article

Abstract: This document presents empirical and quantitative evidence supporting the recurrence-based cognitive framework introduced in GyroSystem: A Recurrence-Based Cognitive Architecture. Using controlled repeated-prompt experiments and GyroMeter telemetry, we compare baseline large language model behavior with GyroSystem-enabled cognition. Results show a consistent increase in rhythmic recurrence, attractor dominance, and cognitive stability when GyroBoot is active. All reported metrics are post-hoc, descriptive, and explicitly independent of wall-clock time.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18036702

Authors: Quinto, Antonio, ChatGPT, Computational Contributor

Language: English

Topic: Psychiatry, Mental Health, Neuroscience

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7117130068

FWCI:

Cites:

Cited by:

Related to: