EvoSim

Evolution Simulator written in Python

Current operation:

1. Biome generates a set amount of food each generation.
2. Beasts roam for up to 2 food - seek nearest food
3. After all food is eaten, or a beast eats 2 food, they return to the border to "shelter"
4. Any beast that fails to eat at least 1 food or fails to reach shelter (the border) in time dies.
5. Each beast that eats 2 food adds a new beast to the next generation.

Current output:
1. Text output of some information
2. Inoperoble pygame window for future visualization

Completed tasks:

• Basic population growth

Current priority:

• (short term) Graph statistics
• (short term) Alternative food search? (forced interractions)
• (mid term) Live plotting of generations in development
• (mid term) Allow for more interesting plant populations (food sources)
• (long term) Real time visualization of a generation
• (long term) Simulation controls while running
  • print statistics on demand
  • speed up/skip live visualization
  • manual injection of mutations or environmental changes

Code goals: Various evolution simulation tests (single pop evolution, pred-prey models, etc)

Personal Development goals: Using Git with commandline (vs integrated as in Visual Studio) Familiarity with Python Familiarity with Spyder IDE

Specific Development Targets: For sim: Simple populations

1. Simple pop growth (complete)
2. Simple competition

Energy System

1. Energy -> survival/reproduction chances
2. Trophic inefficiencies
3. Seasonal/weather variation on energy usage

Simple Graphics

• Need pygame?

For self: 2D Plotting in python

• Plotting should be easy, but...
• real time anims will require pygame

3D Plottingg in python

• These plots are for graphs only, visualization is to be 2D

Acknowledgements:

- Code inspiration from Nathan Rooy's 'evolving-simple-organisms' repository
    - GitHub: https://github.com/nathanrooy/evolving-simple-organisms
    - Usage: Began by tearing apart code to bare bones, basic functions and classes were reduced to the simplest case for inspiration
    - Divergences: removed neural net, starting with different survival rules, plan to implement multiple organisms

- Alternative set ups inspire by primer (on youtube)/Justin Helps (github)
    - Github: https://github.com/Helpsypoo/primer
    - Youtube: https://www.youtube.com/channel/UCKzJFdi57J53Vr_BkTfN3uQ
    - No code referenced, but background discussion may inform different versions
    - Less natural starting condition for animals (at boundary) example of inspiration taken