Explores the Interaction Ecology Framework, highlighting its role in human-AI interactions, suggesting future validation needs.
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.
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S.T. Wang (2026) studied this question.
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