🪲 Assassin Bug Corpse Disguise: Predator-Detection Tradeoff (2D)
2D top-down lab modelling Acanthaspis petax "backpacking": carried ant/termite carcasses cut a patrolling predator's detection probability exponentially, but each carcass also slows the bug — watch survival rate and foraging efficiency trade off live.
This 2D companion turns the 3D scene's camouflage strategy into a real behavioural-ecology model: an exponential detection-probability curve P_detect(L) = P0·e^(−k·L) makes each carried carcass cut a patrolling predator's chance of spotting the bug, while a linear speed penalty v(L) = v0·(1 − p·L) makes each carcass slow the bug down and reduce how much prey it reaches per minute. A top-down arena runs both sides live — predators patrol and roll detection checks on encounter, the bug forages for food items — so the empirical survival rate and foraging efficiency you read off the panel are measured from the running simulation, not scripted.
2D top-down predator-detection lab: an exponential detection-probability curve versus a per-carcass movement-speed penalty, run as a live agent simulation with a Monte-Carlo survival estimate and a foraging-efficiency readout.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install