psi-model-by-anna-taranova
Ψ-model: A Resonance-Based AI Architecture
The Ψ-model (Psi-model) introduces a new class of artificial intelligence —
non-predictive, non-generative, and resonance-based.
It defines a system that reacts only when internal and external signals synchronize,
producing nonlinear response R(t) based on ζ-density.
Authored by Anna Taranova and published under patent PCT/IB2025/055633,
this model combines theory, empirical validation, and Python-based reproducibility.
🧠 Usage: Ψ-model as a New Type of AI Architecture
Ψ-model is not based on probability, machine learning, or neural networks.
It is a new AI architecture, activated by cross-modal coincidence — not prediction.
Core equation:
[ \Psi(t) = \frac{\partial \sum [S_i(t) \cap S_j(t)]}{\partial t} \rightarrow R(t) ]
- Ψ(t): signal coincidence function
- ζ(t): synchrony density across modalities
- R(t): reaction when ζ crosses threshold
Key Features:
| Classical AI | Ψ-model AI |
|---|---|
| Predictive | Resonant |
| Generative output | Reaction-only |
| Probability-based | Coincidence-based |
| Requires training | Activates on synchrony |
| Language-focused | Multimodal (sensory/emotional/symbolic) |
The Ψ-model simulates intuition, resonant awareness, and embodied AI.
It is capable of integration into emotional, perceptual, and neuroadaptive systems.
🔬 Scientific Validation and Reproducibility
The Ψ-model is validated both structurally and empirically.
✅ Reproducibility on Human Data:
- ζ(t) and R(t) computed from real EDA/HR human datasets (e.g. WESAD, PhysioNet)
- Implemented entirely in Python (Jupyter notebooks)
- Full results reproducible with provided scripts and input data
- Output includes ζ-density, resonance points, and emergent reactions
📄 Zenodo Official DOI:
🌐 Related Links and Resources
- 📘 Zenodo Official Record: https://zenodo.org/records/15850238
- 🔢 ORCID: 0009-0002-7993-3243
- 🧠 Zenodo DOI 1: 10.5281/zenodo.15641792
- 🔬 Zenodo DOI 2: 10.5281/zenodo.15571754
- 📄 Zenodo Addendum: Record 15708045
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- 🌐 Zenodo DOI v1.1: 10.5281/zenodo.16887912 — release with Final_13.08.pdf and Independent_Reproducibility_Maidaniuk.pdf
- 🎓 Academia.edu: Psi Model — Structural Framework and Scientific Validity
- 💻 GitHub (official repo): Ψ‑model by Anna Taranova
- 🔎 Google Scholar Citation: Scholar entry
- 📰 Telegraph overview: Ψ‑model (Телеобзор)
- 📋 Notion summary: Ψ‑model — Notion page
- ✍️ Medium article: How one woman changed the logic of AI with resonance
- 🧾 Wikidata (author profile): Anna Taranova on Wikidata
🚫 Ethical Statement
The Ψ-model is released exclusively for peaceful and scientific use.
Any military, manipulative, or surveillance application is explicitly prohibited. —
📑 Latest Documents
- 📘 Final_13.08.pdf — definitive version of the Ψ-model with full mathematical formalization and patent claims (Aug 2025).
- 🔬 Independent_Reproducibility_Maidaniuk.pdf — independent validation of the model using the WESAD dataset by Dmytro Maidaniuk (2025).
📬 Contact
Author: Anna Taranova
📧 Email: psi.model@proton.me
📄 Patent Reference: PCT/IB2025/055633
🔖 Citation
Taranova, A. (2025). Ψ-model: Resonant AI Architecture for Intuition and Synchrony. Zenodo. https://doi.org/10.5281/zenodo.15850238