AntSim Redux Prototype
Top-down ant colony simulation with pheromone signaling, direct food sensing, and emergent population dynamics.
Description
Earlier version: AntSim (Python)
AntSim demonstrates pheromone trail emergence and swarm behavior through evolutionary genetics. Ants lay exploratory and return-trail pheromones, reinforcing successful paths through natural selection. The simulation shows how individual agent behaviors create colony-level intelligence without centralized control.
[GAMEPLAY GIF/Screenshots to be added]
Key Features
- 5-gene evolutionary system: sensitivity, speed, boldness, lifespan, energy_efficiency
- Pheromone trails: Exploratory and return-trail markers with decay
- Queen mortality: Autonomous royal jelly raising for colony continuity
- Split-view rendering: Overhead foraging + ant hill cross-section
GitHub: AntSim
Built with Python and pygame-ce. Evolutionary genetics and ACO principles.
More information
| Status | Prototype |
|---|---|
| Version | 0.1.0 |
| Updated | |
| Genre | Colony 4x |
| Tags | emergent-ai, pheromone-signaling |
| Platforms | Browser |
Devlog
- v0.1.0R1 — New build build