SwarmTrade Lite – A Decentralized Agent Micro-Economy Simulator
Автор: MadHatchetPodcast
Загружено: 2025-06-09
Просмотров: 12
Описание:
Objective:
To simulate a network of autonomous agents performing peer-to-peer economic transactions, showcasing how multi-agent systems can interact using on-chain logic in a simplified, visual environment.
Implementation:
Built using Python and Streamlit, the project features agent spawning, real-time interaction visualization, and a mock on-chain ledger. Each agent has its own wallet, strategy, and the ability to trade resources with others. Optionally, it can be extended to interact with blockchain testnets via Web3.py.
Applications:
Educational demo for AI + blockchain interaction
Prototype for decentralized AI agent ecosystems
Testbed for autonomous micro-economy research
Final Result:
An interactive web app that visualizes autonomous agent trades and economic activity on a simulated ledger. It provides real-time insights into swarm behavior and token exchange.
Future Plans:
Post-campaign, we plan to integrate real smart contracts, add agent governance/reputation, and scale it into a modular platform for researchers and developers exploring decentralized AI economies.
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