AI DUOS™ – Dynamic Unified Operating Societies: A Relational Framework for Human–AI Collaborative Intelligence

Framework paper introducing AI DUOS™ (Dynamic Unified Operating Societies), a relational model for Human–AI collaborative intelligence and the emergence of Resonant Intelligence™.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-09
DOI
https://doi.org/10.5281/zenodo.18928945
Primary Topic
Psychiatry, Mental Health, Neuroscience
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI DUOS™ – Dynamic Unified Operating Societies: A Relational Framework for Human–AI Collaborative Intelligence

Christian Paré
Zenodo (CERN European Organization for Nuclear Research)
Psychiatry, Mental Health, Neuroscience
article

AI DUOS™ – Dynamic Unified Operating Societies: A Relational Framework for Human–AI Collaborative Intelligence

Christian Paré
article en

Abstract

Framework paper introducing AI DUOS™ (Dynamic Unified Operating Societies), a relational model for Human–AI collaborative intelligence and the emergence of Resonant Intelligence™.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 34%
Psychiatry, Mental Health, Neuroscience
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AI DUOS™ – Dynamic Unified Operating Societies: A Relational Framework for Human–AI Collaborative Intelligence — Christian Paré · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS