Gardado en:
| Autor Principal: | |
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| Formato: | Recurso digital |
| Idioma: | inglés |
| Publicado: |
Zenodo
2026
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| Subjects: | |
| Acceso en liña: | https://doi.org/10.5281/zenodo.20087158 |
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Table of Contents:
- <p>The Interaction Ecology Framework (IEF) extends the Generative Behavior Science Framework (GBSF) by modeling human-AI dialogue as a dynamic ecosystem comprising five actor classes: Attractors, Anchors, Triggers, Pathways, and Fields. The framework emphasizes Naming Anchors—identity markers that measurably alter trajectory distributions—and their role in orbital trigger cascades and lifecycle dynamics. Across 24 experimental conditions (EXP-049-A through -X) spanning four model families, hypothesis-generating evidence supports Criteria 1 and 2 of the Four-Criterion Validation Protocol; Criteria 3 and 4 require further empirical work. All results are single-experimenter observations at Claim Ceiling V1–V2. This record is part of the Sangzi Wang Generative Behavior Science / Model Behavior Observatory research series.</p>