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Project
AI Predator Simulation
A complex multi-agent survival simulation where entities learn to hunt, survive, and adapt in a dynamic ecological environment.
Overview
Simulates predator-prey dynamics using autonomous agents that react to environmental cues and internal states (hunger, health, proximity).
Features
- Emergent group hunting behaviors
- Resource management & ecological balance
- Dynamic pathfinding and evasion logic
Status
V1 completed in November 2025. Code is open-source and available for research and expansion into more complex AI architectures.