41 lines
2.0 KiB
Markdown
41 lines
2.0 KiB
Markdown
# SOlush: A Push 3 Virtual Machine in Solidity
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Welcome to **SoLUSH 3** (pronounced like *"slush"* without the "o", composed from *S*o*L*idity and p*USH* 3), a Solidity implementation of the [Push 3](http://faculty.hampshire.edu/lspector/push3-description.html) stack machine, designed to bring evolved genetic algorithms on-chain. By enabling the execution of Push 3 programs directly within Ethereum smart contracts, SoLush 3 paves the way for decentralized, adaptive systems to address complex optimization problems.
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## 🌟 Vision
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SOlush is a key step toward realizing the vision of running decentralized evolutionary computation on blockchain systems. It allows for:
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- **Execution of Genetic Algorithms On-Chain:** Efficiently run evolved solutions to optimization problems entirely within the Ethereum Virtual Machine (EVM).
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- **Decentralized Adaptive Systems:** Enable the creation of autonomous agents capable of adapting in real time based on a target fitness function.
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- **Scalable Agentic Ecosystems:** Lay the groundwork for integrating evolutionary algorithms into decentralized applications (dApps).
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To understand the broader vision, check out the [Vision Document](vision.md).
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## 🚀 Getting Started
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SoLUSH 3 is in active development. To contribute or test the functionality, follow these steps:
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1. Clone the repository:
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```bash
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git clone https://github.com/your-username/SoLUSH.git
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cd SoLUSH
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```
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2. Install dependencies (if applicable).
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3. Review the examples and test cases to understand how Push 3 programs are executed on the VM.
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## 🛠️ Roadmap
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- **Core Features:**
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- Implement core Push 3 data types and operations.
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- Ensure compatibility with the EVM for seamless on-chain execution.
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- **Optimizations:**
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- Improve gas efficiency for genetic algorithm execution.
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- Add tools for algorithm identification and updates.
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- **Integrations:**
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- Develop Agent contract with integration into optimizer pool.
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- Enable interaction with decentralized applications for real-world problem-solving.
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---
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