Examples tagged with population

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adaptiveauctionbalancing-loopbottleneckbullwhipcapacitycellular-automatacompeting-contagioncontroldebtdecaydelaydiscrete-eventecosystemexponentialfact-checkfairnessfirst-order-dynamicsgamegame-theorygameplaygoalgridhealthcareincentiveinterruptsinventorylearningmaintenancemanagementmatchmakingmonitoringnonlinear-dynamicspopulationprioritizationpriorityqueuequota-policyrandomreinforcementreinforcing-loopreliabilityrenewable-resourceresource-managementrumorservicesimpysocial-networkstochasticstocks-flowssustainabilitythroughputtime-delaywaiting-gameworkflow
Beginner - Introductory Models

Fishery Simulation

A fishery simulation of stocks, flows, and feedback loops managing fish populations.

Level: Beginner

populationresource-managementsustainabilitymanagementecosystemstocks-flowsreinforcing-loopbalancing-looprenewable-resourcequota-policy

  • Stocks: population
  • Flows: births, quota
  • Feedback Loops: reproduction (reinforcing), quota (balancing)
  • Probes: population, quota, gap_to_capacity, extracted_total
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Logistic Growth

A logistic growth simulation of population increase with saturation.

Level: Beginner

populationcapacitynonlinear-dynamicsreinforcing-loop

  • Stocks: population
  • Flows: growth
  • Feedback Loops: reinforcing adoption, saturation constraint
  • Probes: population, growth
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Intermediate - Classic Dynamics

Predator-Prey (Lotka–Volterra, SciPy)

A predator-prey simulation using the Lotka-Volterra equations.

Level: Intermediate

populationecosystemnonlinear-dynamics

  • Stocks: prey, predator
  • Flows: prey_births, predations, predator_deaths
  • Feedback Loops: predation cycle
  • Probes: prey, predator
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Predator-Prey (Lotka–Volterra, SimPy)

Discrete-time SimPy approximation of the predator–prey model.

Level: Intermediate

populationecosystemnonlinear-dynamics

  • Stocks: prey, predator
  • Flows: prey_births, predations, predator_deaths
  • Feedback Loops: predation cycle
  • Probes: prey, predator
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SIR Model with Vaccination

An SIR vaccination simulation modeling epidemics with optional vaccination.

Level: Intermediate

populationreinforcing-loopbalancing-loopcontrol

  • Stocks: susceptible, infected, recovered
  • Flows: infections, recoveries, vaccinations
  • Feedback Loops: disease spread (reinforcing), herd immunity (balancing)
  • Probes: susceptible, infected, recovered
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Advanced - Complex Simulations

Logistic Map

A logistic map simulation that iterates x_{n+1}=r*x_n*(1-x_n) to illustrate chaos.

Level: Advanced

populationnonlinear-dynamics

  • Stocks: x
  • Feedback Loops: growth with self-limiting term
  • Probes: x
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