Artificial Intelligence — Philosophy, Architecture, and Physical Integration

Author: S. I. Romanova (2025)
Tagline: The road opens when logic meets light.

🧭 Overview

This independent research explores how AI evolves from algorithmic systems into self-organizing, energy-aware cognitive architectures. It connects three threads:

• Philosophy: mind, meaning, ethics, agency
• Architecture: neural paradigms (ANN, CNN, RNN/LSTM, GAN, Transformer, Diffusion, RL, PINNs, Quantum)
• Physical integration: energy, embodiment, resonance, constraints

Core idea: from logic to resonance — computation, energy, and meaning as a single continuum.

🧩 Structure

• Part I — Conceptual Framework & History (1950–2025).
  Canonical architectures and milestones; multilevel view of AI as a system (logical, evolutionary, stochastic, physical, philosophical).

• Part II — Philosophical & Physical Integration.
  Information–energy–intent budgets, resonance zone, physics-informed learning (PINNs, units, conservation), safety and governance as structural constraints.

• Supplement — Regional AI Systems (Russia, 2023–2025).
  Public-safe overview of assistant-style, text-to-image, and speech systems.

• Appendix — AI Timeline (1950–2025).
  Visual chronology of key shifts.

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📘 Files

File	Description
report/AI-Philosophy-and-Architecture.pdf	Camera-ready coursework (Part I, full narrative)
report/Part_II_Philosophy_and_Physics_Romanova_SI.pdf	Part II — Philosophical & Physical Integration (separate manuscript)
manuscript/AI-Philosophy-and-Architecture.docx	Working manuscript (Part I source)
manuscript/Part_II_Philosophy_and_Physics_Romanova_SI.docx	Working manuscript (Part II source)
manuscript/AI_Models_Russia_Romanova_SI.docx	Supplementary regional overview (Russia, 2023–2025)
figures/AI_Timeline_2col.svg	Timeline figure (1950–2025, vector)
figures/AI_Timeline_2col_1600.png	Timeline figure (1950–2025, PNG for DOCX/Slides)
figures/architecture_schematic.svg	Integral AI architecture schematic (vector)
figures/architecture_schematic_3200.png	Architecture schematic (PNG for DOCX/Slides)
notebooks/01-timeline-fig.ipynb	Future work: code to render/update the timeline
notebooks/02-architecture-notes.ipynb	Future work: notes and citations on architectures
references/references.bib	Core BibTeX file (key AI references; expandable)

Current sources: AI-Philosophy-and-Architecture.docx (main text) and AI-Timeline.docx (timeline notes); see the manuscript/ folder.
Timeline basis (1950–2025): Turing, Dartmouth, Perceptrons, Backprop, LSTM, LeNet, AlexNet, GANs, Transformers, Diffusion, Quantum / Multimodal.

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🧭 Timeline

Full-quality SVG →

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🧩 Architecture (Integral Schematic)

Full-quality SVG →

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🗂 Cases (Public-safe Index)

Public-safe index of deliverables. Private notes and drafts remain offline.

ID	Title	Artifact (public)	Status
C-001	AI Timeline (1950–2025)	figures/AI_Timeline_2col.svg	✅ done
C-002	Integral Architecture Schematic	figures/architecture_schematic.svg	✅ done
C-003	Camera-ready Report (Part I)	report/AI-Philosophy-and-Architecture.pdf	✅ done
C-004	Regional AI Systems (RU, 2023–2025)	manuscript/AI_Models_Russia_Romanova_SI.docx	✅ done (v1)
C-005	Part II — Philosophy & Physics (v1)	manuscript/Part_II_Philosophy_and_Physics_Romanova_SI.docx	✅ done (v1, 2025)

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🔬 Methods (Author’s conceptual framework)

• Multilevel AI: Logical (L), Evolutionary (E), Stochastic (S), Physical (P), Philosophical (Φ).

• Formal view:
  ( \text{AI} = f(L, E, S, P, \Phi) ) and integral axis
  ( \displaystyle \int_{\Phi} f(L, E, S, P), d\Phi )
  — mapping micro-processes to macro-awareness.

• Architectural lens:
  ANN / CNN / RNN / LSTM → GAN → Transformer → Diffusion;
  hybrids: RL, PINNs, neuromorphic, quantum-inspired.

• Physical alignment:
  energy-based constraints, resonance, embodiment; physics-informed residuals in the loss; governance and safety as boundary conditions.

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🔎 Results (snapshot)

• A unified conceptual map of architectures (1950–2025) and their physical / epistemic assumptions.
• A philosophical synthesis: intelligence as a resonant field linking data, energy, and meaning, with humans as co-learners and intent-setters.
• Educational demonstration concept: simple neural training with animated loss/accuracy and physics-like constraints for teaching.

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📥 How to use this repo

• Read report/AI-Philosophy-and-Architecture.pdf for the full narrative (or the DOCX in manuscript/).
• Use report/Part_II_Philosophy_and_Physics_Romanova_SI.pdf for a deeper dive into information–energy–intent budgets and resonance.
• Refer to manuscript/AI_Models_Russia_Romanova_SI.docx for a regional, non-benchmarking overview of Russian AI systems (2023–2025).
• Use figures/ when preparing slides or handouts (timeline and architecture diagrams).
• Once available, run the notebooks in notebooks/ to regenerate figures and explore architectures programmatically.

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🧾 Citation

Romanova, S. I. (2025). Artificial Intelligence — Philosophy, Architecture, and Physical Integration. GitHub repository:
https://github.com/SvetLuna-Lab/AI-Philosophy-and-Architecture

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✅ Roadmap

Done

• Moved DOCX sources to manuscript/.
• Exported camera-ready PDFs to report/.
• Added SVG and PNG versions of the timeline and architecture figures.
• Added basic .gitignore, LICENSE (MIT), and CITATION.cff.

Next

• Add references/references.bib (30–40 entries, APA / BibTeX).
• Add notebooks/01-timeline-fig.ipynb and notebooks/02-architecture-notes.ipynb.
• (Optional) Set up lightweight CI to validate notebook execution and basic repo consistency.

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📄 License

MIT License (unless institutional requirements dictate otherwise).

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📝 Changelog (digest)

0.1.1 — 2025-11-02

• Added: figures/architecture_schematic.svg (integral AI diagram).
• Docs: README update (C-002 marked done; PNG export note).
• Docs: Inserted figure captions and minimal philosophical section.
• Refs: created references/references.bib placeholder.

Full history: see CHANGELOG.md (if present).

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© 2025 S. I. Romanova. All rights reserved where noted.