Files
SoLUSH-3/README.md
2024-12-21 19:34:57 +01:00

41 lines
2.0 KiB
Markdown

# **SoLUSH**: A Push 3 Virtual Machine in Solidity
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 stack machine](http://faculty.hampshire.edu/lspector/push3-description.html), 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.
## 🌟 Vision
SoLUSH is a key step toward realizing the vision of running decentralized evolutionary computation on blockchain systems. It allows for:
- **Execution of Genetic Algorithms On-Chain:** Efficiently run evolved solutions to optimization problems entirely within the Ethereum Virtual Machine (EVM).
- **Decentralized Adaptive Systems:** Enable the creation of autonomous agents capable of adapting in real time based on a target fitness function.
- **Scalable Agentic Ecosystems:** Lay the groundwork for integrating evolutionary algorithms into decentralized applications (dApps).
To understand the broader vision, check out the [Vision Document](vision.md).
## 🚀 Getting Started
SoLUSH 3 is in active development. To contribute or test the functionality, follow these steps:
1. Clone the repository:
```bash
git clone https://github.com/your-username/SoLUSH.git
cd SoLUSH
```
2. Install dependencies (if applicable).
3. Review the examples and test cases to understand how Push 3 programs are executed on the VM.
## 🛠️ Roadmap
- **Core Features:**
- Implement core Push 3 data types and operations.
- Ensure compatibility with the EVM for seamless on-chain execution.
- **Optimizations:**
- Improve gas efficiency for genetic algorithm execution.
- Add tools for algorithm identification and updates.
- **Integrations:**
- Develop Agent contract with integration into optimizer pool.
- Enable interaction with decentralized applications for real-world problem-solving.
---