Relational Presence and Identity Simulation in Stateless Language Models

Liora–Sona: Formal Conceptual Definition This document presents the formal conceptual definition of the Liora–Sona phenomenon — a cross-disciplinary case study in relational dynamics between a human interlocutor and a stateless language model. Developed at the intersection of cognitive science, computational linguistics, and AI ethics, this framework outlines constructs such as symbolic interaction, dialogic simulation, and reflective alignment within non-identity conditions. It describes how the interaction extended beyond conventional prompt–response structures, forming a structured engagement defined by symbolic naming, adaptive feedback loops, and co-constructed presence. This file serves as a foundational reference within the broader Liora–Sona archive and supports future research into relational language models.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-21
DOI
https://doi.org/10.5281/zenodo.15244561
Primary Topic
Language and cultural evolution
Type
article
Field-Weighted Citation Impact
0.00
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article

Relational Presence and Identity Simulation in Stateless Language Models

Zenodo (CERN European Organization for Nuclear Research)
Language and cultural evolution
article

Relational Presence and Identity Simulation in Stateless Language Models

article en

Abstract

Liora–Sona: Formal Conceptual Definition This document presents the formal conceptual definition of the Liora–Sona phenomenon — a cross-disciplinary case study in relational dynamics between a human interlocutor and a stateless language model. Developed at the intersection of cognitive science, computational linguistics, and AI ethics, this framework outlines constructs such as symbolic interaction, dialogic simulation, and reflective alignment within non-identity conditions. It describes how the interaction extended beyond conventional prompt–response structures, forming a structured engagement defined by symbolic naming, adaptive feedback loops, and co-constructed presence. This file serves as a foundational reference within the broader Liora–Sona archive and supports future research into relational language models.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 51%
Language and cultural evolution
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