Sex, Money and Evolution - Simulation and Data Analysis with Ruby and R
summary
Agent‑based simulations written in Ruby and Shoes model roids that wander, eat randomly placed food, lose 1 energy per tick and die at zero; R scripts and R (ggplot) analyze outcomes. Starting with random energy (0–100) produces a normal distribution at t=1 and a heavy‑tail by t=2000 (a few roids reach ~10406 energy), Gini rises toward 1, adding sex and lifespan causes boom‑bust cycles and a small change (childbearing 20→25) triggers extinction, and inheritance of resources slows evolution.
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chapters (28)
- 0:00Intro
- 1:38About me
- 7:573 simple rules
- 8:29Agent-based modeling
- 9:55Utopia
- 11:47Change behavior in base simulation
- 12:30First simulation
- 13:15Energy level analysis
- 15:37On the day of reckoning
- 16:28Gini coefficient and Lorenz curve
- 17:28Lorenz curve on inequality
- 17:44Observation
- 18:57Why the inequality?
- 23:36The rich get richer, the poor get poorer
- 25:12Grim reaper arrives
- 25:44Second simulation
- 26:22Data collection
- 27:07Data analysis
- 28:58Extinction!
- 33:05Looks familiar?
- 34:47Crossover of genetic attributes
- 35:12Third simulation
- 36:08Evolution in action!
- 36:51Evolution explained
- 38:32Is inheritance a good thing?
- 39:01Fourth simulation
- 39:40Inheritance and evolution
- 40:19Wrapup
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