Многоагентный диалог
Графы, гипотезы и метрики обновляются каждые 5 ходов
Диалог
Граф взаимодействий
Научный отчёт по гипотезам и теориям
Эвристические гипотезы
Метрики
🔬 Scientific Analysis Report
This analysis is based on modern scientific frameworks (2010-2025):
- Multidimensional Networks in Teams — Contractor et al. (2012)
- Network Dynamics & Team Performance — Reagans et al. (2016); Leenders et al. (2016)
- Dialogue Act Taxonomy — ISO 24617-2, Bunt et al. (2020)
- Computational Dialogue Analysis — Jurafsky & Martin (2024)
- Language Style Matching & LIWC — Tausczik & Pennebaker (2010); Gonzales et al. (2010)
- High-Dimensional Emotion Model — Cowen & Keltner (2017); Demszky et al. (2020)
- Team Temporal Dynamics — Shuffler et al. (2018); Mathieu et al. (2017)
- Affect in Text & Sentiment — Mohammad et al. (2018)
📚 Scientific Hypotheses
📈 Advanced Analytics
Emotional Contagion, Language Style Matching, and Discourse Coherence analysis.
- Emotional Contagion — Barsade (2002); Hatfield et al. (1994)
- Language Style Matching — Gonzales et al. (2010); Tausczik & Pennebaker (2010)
- Discourse Coherence — Graesser et al. (2014); McNamara et al. (2014)
Click "Load Analysis" after at least 3 dialogue turns.
📊 Key Metrics
No data yet.
🔭 Observer Agent — Methodological Triangulation
Non-participating LLM observer that independently analyzes dialogue and compares its qualitative findings with algorithmic metrics (Denzin, 2012).
Click "Run Observer Analysis" after at least 3 dialogue turns to generate a triangulation report.
📚 Hypothesis Registry
The theory-backed hypothesis list will appear here when the dialogue starts.
📈 Triangulation Summary
No observations yet. Run the observer to see convergence/divergence analysis.