What question did this study set out to answer?

The research aims to establish a framework for examining cognitive structures arising from human-AI interactions.

February 8, 2026Open Access

Human–AI Co-Adaptive Cognition A Boundary-Preserving, Interaction-Level Framework

Key Points

The research aims to establish a framework for examining cognitive structures arising from human-AI interactions.
Developed a boundary-preserving analytical framework
Analyzed cognitive structures through interaction history
Focused on observable patterns over multiple sessions
Identified traceable structural patterns in human-AI interactions
Provided a scaffold for further discussion but not a theory of cognition

Abstract

This work presents a boundary-preserving framework for analyzing cognitive-like structures that emerge through sustained human–AI interaction. Rather than attributing cognition to either agent, the framework treats interaction history as the primary analytic field, focusing on traceable, repeatable structural patterns observable across sessions. This artifact is intended as a discussion-ready research scaffold, not a theory of consciousness, intelligence, or agency.

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