Evolutionary Lab

Simulate genetic drift and selective pressure.

ECOSIM provides a computational environment to model population dynamics, camouflage efficiency, and the impact of catastrophic bottleneck events.

Camouflage Dynamics
Simulation A
Interact with simulation parameters to observe phenotypic changes
Prey dots moving across a simulated environment field
Generation 42 of 1000Active Agents

Simulation Workspace

Configure environment variables and mutation rates in the control panel.

Genetic Telemetry

Real-time Data

Monitor allele frequency shifts and phenotypic distribution as agents interact with the environment in real-time.

System performance60fps telemetry

Selective Pressure

Environment Control

Adjust environmental parameters to observe how camouflage efficiency dictates survival rates under predation.

System performance100% variable control

Bottleneck Analysis

Catastrophe Logic

Simulate flood events to analyze how population crashes reshape the genetic landscape of the surviving species.

System performance94% accuracy rate

Advanced Evolutionary Modeling

Analyze allele frequency shifts and population bottlenecks with high-precision data visualization tools.

Evolutionary Lab

Simulate natural selection and genetic drift

Explore how camouflage, predation, and catastrophic events shape population genetics through interactive simulations.

Static ModelsLimited Scope
Basic Simulations

Lacks the dynamic variables required to model complex evolutionary pressures.

Ignores selective pressure

Fails to account for how predator efficiency shifts based on prey camouflage.

Static environment models

Lacks the ability to simulate how changing terrain colors impacts survival.

No catastrophic events

Cannot model bottleneck effects or sudden population crashes like floods.

Lacks genetic telemetry

Does not track allele frequency changes across generations or events.

Result: Incomplete understanding of evolutionary dynamics
Evolutionary Lab
Active Simulation
ECOSIM Simulation Engine

Interactive bio-computational environment for testing genetic drift and selection.

01Live Agents

Prey Simulation

Observe 10 predators hunting prey with variable camouflage efficiency.

02Genetic Drift

Mutation Control

Introduce random color mutations to track phenotypic lineage drift.

03Adaptation

Environment Shift

Modify terrain color to test how camouflage dictates survival rates.

04Catastrophe

Bottleneck Event

Trigger a flood to cull 80% of prey and observe repopulation dynamics.

Real-time telemetry tracks allele frequency changes across generations
Visualize population bottlenecks and recovery
Start Simulation

Allele Frequency Data

Real-time graphs tracking phenotypic shifts before and after bottlenecks.

Predator Efficiency

Adjust hunting parameters to see how camouflage impacts predation.

Population Telemetry

Monitor reproduction and mortality rates in a controlled environment.