Human-Machine Symbiosis as a Deduction from the Hierarchical-Nested Dimensionalism Theory (HNDT)v2

This study explores the philosophical and theoretical foundations of human–machine symbiosis within the framework of Hierarchically Nested Dimensional Theory (HNDT). It examines how dimensional emergence, pre-geometric generation rules, and multi-level dynamical coupling shape the integration of human cognition and artificial intelligence systems. The work provides a novel theoretical account of symbiotic emergence, stability conditions, and long-term evolutionary trajectories in human–machine systems.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-21
DOI
https://doi.org/10.5281/zenodo.19680265
Primary Topic
Embodied and Extended Cognition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Human-Machine Symbiosis as a Deduction from the Hierarchical-Nested Dimensionalism Theory (HNDT)v2

Yingkui Lu, Yifei Lu
Zenodo (CERN European Organization for Nuclear Research)
Embodied and Extended Cognition
article

Human-Machine Symbiosis as a Deduction from the Hierarchical-Nested Dimensionalism Theory (HNDT)v2

Yingkui Lu, Yifei Lu
article en

Abstract

This study explores the philosophical and theoretical foundations of human–machine symbiosis within the framework of Hierarchically Nested Dimensional Theory (HNDT). It examines how dimensional emergence, pre-geometric generation rules, and multi-level dynamical coupling shape the integration of human cognition and artificial intelligence systems. The work provides a novel theoretical account of symbiotic emergence, stability conditions, and long-term evolutionary trajectories in human–machine systems.

Zenodo (CERN European Organization for Nuclear Research)
Indepth Network (GH)
Openalex Percentile: Top 10%
Embodied and Extended Cognition
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.