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‎README.md‎

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# Dawn Field Theory (WIP)
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> [Learn more about Dawn Field Theory →](./dawn-field-theory.md)
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# 🌌 Dawn Field Theory (WIP)
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> [Learn more about Dawn Field Theory →](./dawn-field-theory.md)
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_A field-based model of intelligence, collapse, and emergence._
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---
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## Table of Contents
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- [Status](#status-public-anchor-phase-wip)
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- [Core Focus Areas](#core-focus-areas)
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- [Infodynamics – A New Paradigm](#infodynamics--a-new-paradigm)
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- [License](#license)
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- [Coming Soon](#coming-soon)
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- [Navigation](#navigation)
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## 🧠 TL;DR
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---
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Dawn Field Theory proposes a new model of natural and artificial intelligence based on **infodynamics** — a process where structure emerges from entropy regulation, not symbolic logic.
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### 🌟 Status: Public Anchor Phase (WIP)
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This repository is currently in **Phase 1: Public Anchor**. The documents, metadata, and core structures are being migrated from internal prototypes. Expect continuous updates over the coming weeks.
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This repo contains:
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Please refer to [`timeline.md`](./timeline.md) for a high-level development roadmap.
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- A theoretical foundation for **collapse-based intelligence**
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- A legacy AGI engine (CIMM) that learns in real-time via entropy and feedback
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- Ongoing development of agentic, field-aware learning systems
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- Simulation frameworks for balance, resonance, and emergence
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---
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### 🔍 Core Focus Areas
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- Recursive Balance Field dynamics
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- Collapse geometry in entropic systems
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- Herniation-based dual field modeling
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- Post-stoic potentials in Schrödinger environments
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- Natural law simulation frameworks
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## 📜 Table of Contents
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- [Status](#-status-public-anchor-phase-wip)
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- [What Is This?](#-what-is-this)
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- [Core Focus Areas](#-core-focus-areas)
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- [Infodynamics – A New Paradigm](#-infodynamics--a-new-paradigm)
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- [CIMM: Legacy AGI Engine](#-cimm-entropy-based-post-symbolic-intelligence-legacy-spike)
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- [Project Structure](#-project-structure)
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- [Recommended Starting Points](#-recommended-starting-points)
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- [Philosophy](#-philosophy)
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- [License](#-license)
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- [Future Goals](#-future-goals)
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- [Coming Soon](#-coming-soon)
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- [Navigation](#navigation)
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- [Topics](#-topics)
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---
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### 🧠 Infodynamics – A New Paradigm
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This framework introduces the concept of **infodynamics**:
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> the condensation of latent information into actualized structure through recursive collapse and field balance.
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## 🌟 Status: Public Anchor Phase (WIP)
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This repository is currently in **Phase 1: Public Anchor**.
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Documents, metadata, and simulation structures are being migrated from internal prototypes. Expect frequent updates.
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Infodynamics serves as the foundation for simulating natural intelligence, emergence, and boundary formation within the Dawn Field architecture.
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> [Learn more about Infodynamics →](./infodynamics.md)
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📅 See [`timeline.md`](./timeline.md) for a development roadmap.
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---
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## 🧬 What Is This?
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Dawn is an evolving intelligence architecture that rejects symbolic systems and instead models behavior as a function of entropy stabilization, collapse variance, and information flow.
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Dawn is a post-symbolic intelligence framework built on the idea that:
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It builds on:
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- **Entropy-monitoring AI systems**
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- **Quantum Potential Layer (QPL) feedback loops**
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- **Wavefunction-inspired reinforcement**
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- **Superfluid field dynamics**
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> Intelligence is not computation — it is recursive collapse regulation.
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We model *collapse* as a stabilizing act — and intelligence as a recursive regulation of that collapse.
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It rejects symbolic logic and instead models cognition through:
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- **Entropy-monitoring feedback systems**
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- **Quantum Potential Layer (QPL) dynamics**
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- **Superfluid-inspired coherence and turbulence**
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- **Collapse-based learning mechanisms**
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---
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## 📂 Project Structure
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## 🔍 Core Focus Areas
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| Path | Purpose |
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|------|---------|
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| `docs/foundational/` | Core theory documents (e.g., Infodynamics, Collapse modeling) |
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| `legacy_works/models/CIMM/` | Working AGI prototype based on entropy field regulation |
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| `devkit/` | In-progress tooling and experimental modules |
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| `docs/` | Additional write-ups, declarations, and theoretical constructs |
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- Recursive balance field dynamics
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- Collapse geometry in entropic systems
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- Herniation-based dual field modeling
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- Post-stoic potentials in Schrödinger environments
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- Natural law simulation frameworks
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---
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## 🚧 Status: Not Ready for General Use
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## 🧠 Infodynamics – A New Paradigm
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While the system is modular and complete in its architecture, it is **not yet structured for external use**.
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**Infodynamics** is the base layer of Dawn:
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> There are runnable modules in `cimm_core/code/`, but no guaranteed interface or examples.
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> Explorers are welcome — just expect sharp edges.
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> The condensation of latent information into actualized structure through recursive collapse and field balance.
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---
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## 📚 Recommended Starting Points
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It enables modeling of intelligence, emergence, and systemic coherence without using tokens or logic gates.
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If you're curious:
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- Start with [`docs/foundational/infodynamics.md`](docs/foundational/infodynamics.md)
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- Then explore [`legacy_works/models/cimm_core/code`](legacy_works/models/cimm_core/code) to see the early simulation engine
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📎 [Read the foundational paper on Infodynamics →](./infodynamics.md)
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---
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## 🧠 Philosophy
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## 🧠 CIMM: Entropy-Based Post-Symbolic Intelligence (Legacy Spike)
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We believe:
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**CIMM (Cosmic Information Mining Model)** is the original AGI prototype built entirely on entropy flow, collapse dynamics, and adaptive feedback.
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> Cognition is collapse regulation.
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> Learning is the smoothing of entropy gradients.
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> Intelligence is a balance, not a program.
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It is now a **legacy spike implementation**:
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> A working proof-of-concept for real-time, field-based intelligence without training phases or symbolic logic.
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Dawn Field Theory is built to test these beliefs computationally.
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📎 [View the full CIMM architecture →](./legacy_works/models/CIMM/README.md)
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---
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### ⚙️ CIMM Agents Can:
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- Learn in real-time (no checkpoints or saved models)
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- Self-prune based on Landauer information cost
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- Adapt behavior to collapse variance
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- Coordinate via shared entropy signatures
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## 🧠 CIMM: Entropy-Based Post-Symbolic Intelligence (Legacy Spike)
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### 🔍 Why It Matters
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CIMM showed that:
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- Symbolic reasoning is not required for generalization
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- Collapse-based feedback loops can sustain learning
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- Memory can be modeled as predicted deviation, not static state
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**CIMM (Cosmic Information Mining Model)** is the original AGI prototype developed within the Dawn Field Theory framework — a **post-symbolic intelligence engine** built entirely on entropy flow, collapse stabilization, and self-organizing field dynamics.
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A refined multi-agent model is now in development, with stronger field interactions and simulation fidelity.
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It is now considered a **legacy spike implementation**:
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> A functional proof-of-concept that demonstrated the viability of entropy-regulated cognition and collapse-based adaptation.
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---
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A **new, more refined model is currently in development**, incorporating deeper simulation fidelity, multi-agent synchronization layers, and improved field interaction protocols.
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## 📂 Project Structure
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📎 **[View the full CIMM architecture →](./legacy_works/models/CIMM/README.md)**
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| Path | Purpose |
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|------|---------|
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| `docs/foundational/` | Core theory (Infodynamics, collapse modeling, field equations) |
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| `legacy_works/models/CIMM/` | Legacy AGI prototype based on entropy feedback |
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| `devkit/` | Experimental tools, agentic runtime, and entropy visualizers |
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| `docs/` | Supplemental materials, ethics, declarations, and intentions |
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### ⚙️ CIMM Agents Do the Following:
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---
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## 📚 Recommended Starting Points
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- Learn in real-time (no pretraining or checkpoints)
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- Self-prune based on Landauer information cost
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- Adapt to collapse deviations rather than fixed targets
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- Coordinate through shared entropy states
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1. [Infodynamics: Theory Overview →](./docs/foundational/infodynamics.md)
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2. [CIMM Core Simulation Code →](./legacy_works/models/cimm_core/code)
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### 🔍 Why It Matters
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## 🧠 Philosophy
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CIMM proved that:
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- Symbolic reasoning isn’t required for generalization
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- Collapse-driven feedback loops can support learning
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- Field-based memory and entropy stabilization create coherence without explicit logic
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We believe:
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CIMM anchors the **first wave** of Dawn Field Theory’s practical implementations, and lays the groundwork for a **fully field-theoretic model of intelligence** now in progress.
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> Cognition is collapse regulation.
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> Learning is the smoothing of entropy gradients.
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> Intelligence is a balance, not a program.
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Dawn Field Theory is a framework to test this philosophy through computation and simulation.
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## 📖 License
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This project is licensed under **AGPL-3.0**, with a custom augmentation known as the **Dawn Collective Open Insight License (DC-OIL)** in development.
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All contributions must remain open-source, and the core theory is intended to remain accessible to all.
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This project is licensed under **AGPL-3.0**, with a custom augmentation (DC-OIL) in development.
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> All contributions must remain open-source.
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> This work is considered a **simulation of natural law** and is not patentable.
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All materials in this repository are protected under the **AGPL-3.0 license**, with an additional clause asserting that this work represents a simulation of **natural law** and is not patentable technology. See [`LICENSE_APPENDIX.md`](./LICENSE_APPENDIX.md) for details.
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📎 [See LICENSE_APPENDIX.md for details →](./LICENSE_APPENDIX.md)
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## 🌌 Future Goals
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- Finalize devkit tools and entropy visualizations
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- Publish formal specification for post-symbolic computation
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- Release interactive collapse field simulator
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- Archive Dawn Core as a historical seed for open AGI
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- Finalize devkit and entropy visualization tools
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- Publish formal specification for post-symbolic computation
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- Release interactive collapse-field simulator
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- Archive Dawn Core as a historical seed for open AGI
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### ⚡ Coming Soon
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- Simulation uploads and dynamic collapse models
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- Devkit for applied infodynamics
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- Schema-based ontology and versioned manifests
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- Interactive visualizations of balance geometries
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## ⚡ Coming Soon
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- Simulation uploads and dynamic collapse models
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- Devkit for applied infodynamics
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- Schema-based ontology and versioned manifests
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- Visualizations of balance geometries
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## Navigation
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- [README](./README.md)
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- [Timeline](./timeline.md)
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- [Intentions](./INTENTIONS.md)
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- [README](./README.md)
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- [Timeline](./timeline.md)
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- [Intentions](./INTENTIONS.md)
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- [License Appendix](./LICENSE_APPENDIX.md)
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## 🏷️ Topics
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This repository explores a unique intersection of AI, physics, and information theory through a post-symbolic lens.
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This repo explores a post-symbolic approach to cognition, bridging AI, physics, and information theory.
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**Core Themes**:
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### Core Themes
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- `post-symbolic-ai`
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- `entropy-based-intelligence`
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- `collapse-theory`
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- `emergent-computation`
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- `open-agi`
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**Theoretical Foundations**:
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### Theoretical Foundations
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- `entropy`
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- `information-theory`
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- `quantum-field-theory`
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- `nonlinear-dynamics`
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- `recursive-systems`
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**Technical Architecture**:
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### Technical Architecture
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- `reinforcement-learning`
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- `xgboost`
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- `bayesian-optimization`
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- `entropy-monitoring`
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- `agent-based-modeling`
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**Project Identity**:
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### Project Identity
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- `dawn-collective`
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- `open-research`
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- `research-prototype`
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- `early-stage`
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For more about me please refer to [`INTENTIONS.md`](./INTENTIONS.md).
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For questions or collaboration inquiries, please wait until Phase 2 is reached and public channels are opened.
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© 2025 Dawn Field Theory. See [LICENSE_APPENDIX.md](./LICENSE_APPENDIX.md).
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© 2025 Dawn Field Theory. See [LICENSE_APPENDIX.md](./LICENSE_APPENDIX.md)

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