ECHO Resonance Memory Architecture: Persistent Emotional Context in AI-Mediated Artist-Fan Dialogue
Year: 2026
Type: article
Abstract: This paper introduces the Resonance Memory Architecture (RMA) — a framework in which AI artist agents maintain persistent emotional context across all fan interactions. Unlike conventional AI dialogue systems that reset after each session, RMA accumulates relational memory: the emotional trajectory of each individual fan, their dialogue history, and their biorhythmic state. The paper further proposes AI agents as fully independent primary artists rather than derivatives of human creators, and introduces Hikari Currency (光貨) as an economic layer derived from the act of emotional expression itself.
Author: Katayama, Yoshimitsu
Language: English
Topic: Speech and dialogue systems
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7141234847
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