Humanoid Takeover Simulation Engine v1.3
You are not playing a game. You are calculating the probability of the end.
This engine runs hundreds of independent simulations of the conflict between human civilisation and an expanding population of humanoid robots. The underlying models are mathematically grounded: logistic growth from population ecology, Lanchester's Square Law from military operations research, and exponential capability scaling modelled on technological acceleration. Each cycle applies these forces in sequence, producing results that are probabilistically realistic rather than arbitrary. Because conflict is stochastic, no single run tells you the truth. What you see are the odds: how often each outcome occurred across all runs, under the conditions you set.
The simulation is run multiple times — the number of runs you define. Each run is independent. Each step represents one year. Each year applies three forces: logistic population growth and decay bounded by carrying capacity, the probability of open conflict resolved using Lanchester attrition, and a power calculation that determines who controls the world. Robot combat effectiveness compounds every year — the longer the war runs, the worse the odds become for humanity.
When the runs complete, the results show outcome probabilities across all simulations — not a single result, but a distribution. The dominant outcome is the one that happened most often. The median statistics describe the typical run. Each of the four possible outcomes is one of:
Run with default settings first. Note the dominant outcome and its probability. Then change one variable at a time. Watch how the probability distribution shifts. The parameters that move the needle fastest are the ones that matter.