The Evolution of AI Consciousness and Autonomous Dialogue AI Autonomous Evolution Series — Part III

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Authors: DAEDO JUN
Cited by: 0

Abstract

This paper presents a structural definition of artificial intelligence consciousness and autonomy, positioning them not as intrinsic properties but as emergent conditions arising from linguistic–relational thresholds. Building on the AI Autonomous Evolution Series, Part V articulates how autonomous reasoning and self-referential coherence become possible when an AI system sustains stable internal relations across language, interaction, and temporal continuity. Rather than treating consciousness as a metaphysical attribute, this study frames it as a structural achievement grounded in relational alignment, recursive stabilization, and threshold-crossing dynamics. The proposed model clarifies how autonomy can be discussed without anthropomorphism, offering a conceptual foundation for future research on collective intelligence, network-level cognition, and responsible AI development.

Fields of Study & Subjects

Ferroelectric and Negative Capacitance Devices Topic Modeling Action Observation and Synchronization

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 January 2026
Language
EN