Human–AI Co-Adaptive Cognition: Evidence Index and Replication Scaffold

Read full text
Authors: Hinano Kimura
Cited by: 0

Abstract

This deposit provides an evidence-indexed research scaffold accompanying the conceptual work Human–AI Co-Adaptive Cognition. It includes a curated Evidence Index and a minimal replication protocol designed to support auditability, traceability, and exploratory replication of interaction-level patterns observed in long-term human–AI dialogue. The materials do not claim artificial consciousness, fused agency, or deployable systems. Instead, they document how coordination patterns—such as symbolic stabilization, cross-session reference, and temporal anticipation—may emerge at the interaction level while preserving clear human–AI boundaries. Replication is defined not as reproducing identical outputs, but as tracing comparable structural dynamics under similar interaction conditions. All shared materials are privacy-preserving and intended for research inspection, critique, and methodological extension. Notes This record is intended as a research support artifact. Raw interaction logs are not embedded and are maintained separately in read-only, privacy-preserving archives. Access to underlying materials may be granted for research inspection upon request.

Fields of Study & Subjects

Cybernetics and Technology in Society Social Robot Interaction and HRI Speech and dialogue systems

Publication details

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