Simulation Protocols

Experimental Modules

Follow these structured laboratory modules to simulate evolutionary mechanisms, environmental pressures, and catastrophic bottleneck events.

Stage 01
Initial Population Setup
Baseline Control
Establish the starting prey population and predator count to observe natural selection dynamics in a controlled environment.
Protocol Objectives:
  • Define initial prey population size
  • Configure 10 predator agents
  • Set baseline camouflage efficiency
Real-time telemetryData-driven
Stage 02
Phenotypic Variation
Mutation Dynamics
Introduce random genetic mutations to observe how new color traits emerge and influence survival rates across generations.
Protocol Objectives:
  • Enable random color mutation
  • Track allele frequency shifts
  • Monitor reproductive success
Real-time telemetryData-driven
Stage 03
Adaptive Camouflage
Environmental Shift
Modify the environment color to test how prey camouflage efficiency changes and impacts survival against predators.
Protocol Objectives:
  • Adjust background canvas color
  • Observe camouflage adaptation
  • Analyze survival rate variance
Real-time telemetryData-driven
Stage 04
Catastrophic Flood Stage
Bottleneck Event
Simulate a flood event to cull 80% of the population, followed by a rapid repopulation phase to observe genetic drift.
Protocol Objectives:
  • Trigger flood bottleneck event
  • Observe 3x population rebound
  • Compare pre-post allele data
Real-time telemetryData-driven

Ready to run your simulation?

Begin your evolutionary study by configuring your parameters. Access the full guide to master the simulation controls.

Simulation Documentation

Evolutionary Modeling Guide

Understand the parameters of our bio-computational laboratory and how to interpret genetic telemetry data.

Predator efficiency is calculated based on the camouflage delta between the prey's phenotype and the environment. Higher efficiency settings increase the detection radius of predators, leading to higher cull rates for prey that lack effective color matching.

Simulation Parameters
DetectionRadius-based
Efficiency0.1 – 5.0x
Cull RateDynamic
CamouflageRGB Delta
Predator strike vectors are updated in real-time based on phenotypic distance.

Laboratory Standards

Simulation Control Deck

Manage environmental variables, predator efficiency, and catastrophic events to observe real-time genetic drift.

Allele Tracking

Monitor phenotypic frequency shifts across generations.

Bottleneck Events

Trigger flood events to simulate population culls.

Camouflage Logic

Adjust environment color to test survival fitness.

Need help with modeling?Our research team provides documentation on setting up custom mutation rates and environmental variables.