What question did this study set out to answer?

The aim is to understand the foundations of human-machine symbiosis through Hierarchically Nested Dimensional Theory.

April 22, 2026Open Access

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

Key Points

The aim is to understand the foundations of human-machine symbiosis through Hierarchically Nested Dimensional Theory.
Examined philosophical and theoretical aspects of human-machine interaction
Analyzed rules governing dimensional emergence and stability
Explored multi-level interactions between human cognition and AI systems
Provided a theoretical framework for understanding symbiotic emergence
Identified stability conditions for effective human-machine integration
Outlined potential evolutionary trajectories for these systems

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.

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

Key Points

Abstract

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