Building a World Simulation
I’m building a simulated world game where AI agents live autonomously: no scripted goals, no predefined rules. The big question: if you give an AI basic survival needs and an open environment, will complex behavior emerge on its own?
Idea
Player agents start with nothing but hunger, thirst, and the ability to explore. Without special prompts, they build fires when cold, seek food when hungry, and gradually discover what the world offers. Agents can also interact with each other: chat, trade resources, and collaborate. The goal is to see if agents spontaneously develop something resembling a society or civilization.
Working now:
- World Agent interprets any player action and updates the environment dynamically by creating new types of objects and modifying existing ones.
- Player agents can create objects that were never hardcoded, such as shelters, fires, tools.
- Day/night and temperature cycles drive spontaneous agent behavior.
- Basic survival loop: hunger, thirst, tiredness, health.
- Agents can talk to each other and trade resources.
Up next:
- Efficient agent memory and context (current cost: ~$10/hour per agent).
- Exploring deeper multi-agent dynamics: will they form alliances, specialize, build economies?
- Asset generation for new objects via image AI.