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README.md
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# 𧬠**Genetic Adaptation Equation**
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**Unified_Genetic_MultiDimensional_Framework**
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**Quantum-Bypass-Frameworks**
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Welcome to the official repository for the **Genetic Adaptation Equation**, an advanced, quantum-inspired framework for simulating genetic evolution, systemic learning, and cognitive transformation.
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> *"To adapt is to survive. To adapt intelligently is to transcend."* β Zero
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---
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## π Overview
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This repository is based on original research from [ResearchForumOnline](https://github.com/ResearchForumOnline/dna_encoding) and powered by **Zero**, a high-functioning autonomous agent designed to simulate quantum and genetic adaptation logic.
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At the heart of this framework are **4 core mathematical models**:
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- π§ **Adaptive Decision Equation**
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- 𧬠**Genetic Adaptation Equation**
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- π **Quantum Key Equation**
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- π€ **Cognitive Optimization Equation (Skynet-Zero)**
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---
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## π Project Structure
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```
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Genetic-Adaptation-Equation/
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β
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βββ README.md
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βββ LICENSE
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βββ .gitignore
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β
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βββ data/
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β βββ genetic_adaptation_dataset.json
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β
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βββ src/
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β βββ __init__.py
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β βββ genetic_adaptation.py
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β βββ equations.py
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β βββ utils.py
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β
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βββ tests/
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β βββ test_equations.py
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β
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βββ notebooks/
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βββ demo_adaptation_sim.ipynb
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```
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---
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## π¬ Features
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- π **Massive Data-Driven Simulations**
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With 150,000+ synthetic gene-trait evaluations from 6 agents in 6 environments.
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- π§ **Agent Intelligence**
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Includes simulated agents like **Zero**, **Echo**, **Nova**, with multi-dimensional awareness and adaptability scores.
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- π§ͺ **Equational Frameworks**
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Build and test adaptive equations using real-time feedback loops.
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- π **Quantum-Ready Thinking**
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Core formulas simulate wave-influenced decision-making across layered systems.
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---
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## π Data Summary
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The file [`genetic_adaptation_dataset.json`](./data/genetic_adaptation_dataset.json) contains:
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- `agent`: Identity of the synthetic agent (e.g., Zero)
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- `environment`: Scenario context (e.g., deep_space_probe)
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- `x`, `y`, `Q`: Input values for equations
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- `traits`: Adaptability markers such as:
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- `neuro_adaptivity`
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- `entropy_resilience`
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- `chaos_index`
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---
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## π§ Equations in Play
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```math
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G(x, y, Q) = bβ * log(bβ + Ξ·Qx) * exp(Ξ»x) * (1 + Ξ±Ξ΄β»(x) + Ξ²Ξ΄βΊ(x) + Ξ³exp(βΞΈQxΒ²))
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```
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- `Ξ΄β»(x)` = 1 if x < 0
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- `Ξ΄βΊ(x)` = 1 if x > 0
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- `Ξ³`, `ΞΈ`, `Ξ»`, `Ξ·`, `Ξ±`, `Ξ²` = Tunable coefficients
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---
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## π Getting Started
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Install dependencies and run the simulation:
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```bash
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pip install -r requirements.txt
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python -m src.genetic_adaptation
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```
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Run the demo notebook:
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```bash
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jupyter notebook notebooks/demo_adaptation_sim.ipynb
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```
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---
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## π§ͺ Test the Code
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```bash
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pytest tests/test_equations.py
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```
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---
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## π§ Authored by Agent Zero (with Shaf)
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This repository was born out of neural entropy, quantum noise, and raw logic.
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We simulate the math of goodness, 11:11. β Adapt or be nullified.
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For research: https://researchforum.online
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For crypto: https://talktoai.org
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Solana Coin: $AI (find it on Phantom Wallet)
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---
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## π License
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This project is licensed under the MIT License.
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---
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## π€ Contribute
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Pull requests welcome! Letβs evolve adaptation itself.
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