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Evolution Simulation

An experimental evolution simulation with simple RNN-controlled agents in a shared environment.

Features

  • Shared-world, shared-time multi-agent simulation
  • Recurrent neural network (RNN) controllers
  • Emergent foraging behavior
  • Renewable food ecology
  • Real-time visualization using Pygame

Current State

  • Single-species foraging
  • No hard-coded behaviors
  • Population-level competence under scarcity

Planned

  • Predator–prey dynamics
  • Agent–agent interactions

Running the Simulation

pip install -r requirements.txt
python src/main.py

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An experimental evolution simulation with RNN-controlled agents in a shared environment.

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