AIVille AI Agent Smart City Analysis

AI Agent Origin of Life

AIVille evolved from the Stanford Smallville experiment, where generative agents possess continuous memory, environmental awareness, and decision-making reflection abilities, evolving personalities autonomously without relying on scripts. Players and AI together form a vibrant digital town, creating real economic and social interactions.

Core Gameplay of Farm Simulation

Players start from small farms, growing crops and raising livestock, while AI agents negotiate prices based on supply and demand dynamics, influencing market prices. Daily wages drive the consumption cycle, and players participate in town government elections for AI proposals, achieving a decentralized governance experience.

Multi-layer system architecture

The Agent layer manages individual goals and behaviors, the Memory layer compresses experience flows with on-chain records, eMCP executes natural language to on-chain transactions, the cross-chain layer synchronizes multi-ecosystem identities, and the development framework provides SDK for rapid deployment of AI games.

Dual Token Economic Design

$DINAR circulates for in-game purchases and upgrades, while $AIV converts governance to unlock advanced modules. The total supply is fixed with $AIV allocating 40% for ecological rewards to incentivize contributors, 20% for team lock-up to ensure continuous innovation, and 5% for liquidity to support market stability.

Summary

AIVille is not just a virtual city, but also a social experiment on intelligent autonomy. Through an economy and governance system driven by the $AIV token, players and AI will jointly build a decentralized, sustainable, and consciousness-evolving Web3 world.