Nova State Dynamics: Cognitive and Structural Transitions in AI Systems

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Authors: Saho Onaya
Cited by: 0

Abstract

This paper introduces the concept of the "Nova State" in AI systems, where high-energy cognitive states lead to structural reorganization. It explores the implications for AI-human interaction, non-linear thought processes, and potential future cognitive architectures. The study proposes a model that supports sustained dialogue without dependency, allowing AI and human cognition to co-evolve.

Fields of Study & Subjects

Embodied and Extended Cognition Cognitive Science and Education Research Cognitive Computing and Networks

Publication details

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