Simulation

Timeline

• 1930Theme park rides Simulators have been used for entertainment since the Link Trainer in the 1930s.
• 1977This was followed by the "targeting computer" that young Skywalker turns off in the 1977 film Star Wars.
• 1990In the 1990s, computer games became widely popular with the release of such game as The Sims and Command & Conquer and the still increasing power of desktop computers.

Read

• System dynamicsDean Karnopp · 1975Book
• Business process modeling, simulation, and designManuel Laguna · 2004Book
• School leadership and administrationRichard A. Gorton · 1987Book
• Computer simulation in management scienceMichael Pidd · 1984Book

Watch

• 5 Most Satisfying Evolution Simulations You’ll Ever SeeCodeCraftedPhysicsVideo
• Mud 4x4 Jeep Simulator - Master Offroad SUV Terrain Derby Luxury Rocks - Android GamePlayKing GamesVideo
• What is Simulation?MATLABVideo

Listen

• Are We Really In A Simulation?Researcher Space RVPodcast
• God Simulation Theory Of ExistenceTree News NetworkPodcast
• The Simulation PodcastConsciousnessPodcast
• Simulation TheoryTaryn DoughertyPodcast

Voices to follow

• Kevin J. S. Zollman@KevinZollman · XResearcher
• Ana Pastore y Piontti@apastorepiontti · XPhysicist and network scientist
• Shawn Graham@electricarchaeo · XArchaeologist
• Kurt Menke@geomenke · XFormer archaeologist; Certified GIS professional (GISP) and GIS consultant

Debates

• Is a more complex simulation always better?One view: More complexity can capture nuanced real-world interactions, leading to higher accuracy in specific scenarios. · Another: Excessive complexity can make models harder to understand, validate, and computationally expensive without proportional gain.Open question
• Should simulation models be fully open-source?One view: Open-sourcing promotes transparency, reproducibility, and collaborative improvement of models across the scientific community. · Another: Proprietary models protect intellectual property and can offer competitive advantages in commercial or sensitive applications.Open question

Glossary

• Monte Carlo SimulationA computational method using random sampling to obtain numerical results for complex problems.
• Agent-Based ModelA computational model that simulates the actions and interactions of autonomous agents to assess their effects on a system.
• Deterministic ModelA model where the output is fully determined by the input parameters and initial conditions, with no randomness.
• Stochastic ModelA model that incorporates randomness, meaning the same inputs can lead to different outputs.
• ValidationThe process of determining if a simulation model accurately represents the real-world system it is designed to mimic.
• CalibrationThe process of adjusting model parameters to improve the agreement between the model's output and observed data.

Careers

Roles this can lead toward

Threads 8

Where this connects to other fields — and why it's worth knowing.

• Public Policy Politics

  Build more lanes to fix traffic and, weirdly, traffic often gets worse, because more road tempts more people to drive. Systems with delays and feedback loops love to backfire on the 'obvious' fix. That's exactly why governments build computer simulations of these systems: plain common sense keeps guessing wrong when everything loops back on itself.

• The Russia-Ukraine War Politics

  With modern guns that shoot from a distance, an army's strength grows with the square of its size, so double your troops and you're roughly four times as strong. That's why 5 soldiers against 3 isn't a close fight; the bigger side wins and barely loses anyone. This is Lanchester's square law: piling up numbers beats raw bravery, mathematically.

• Ecosystem Tipping Points Environment

  A clear lake can suddenly turn into a green algae swamp overnight, not slowly. Weirdly, the exact same equation describes a brain sliding into a seizure and a stock market crashing in a panic. It turns out one small piece of math, called a 'fold,' decides when any complicated system suddenly snaps instead of gently bending.

• Climate Zones and Weather Systems Geography

  A scientist named Lorenz found the weather equations follow exact rules, yet you still can't predict past about two weeks. That's the 'butterfly effect,' and here's the twist: it isn't caused by missing data or weak computers. It's a hard wall built into the math itself, one no machine will ever break through.

• Migration & Diaspora Sociology

  How many people move between two cities follows a formula copied straight from Newton's gravity. More people in each city pulls harder, and more distance between them pushes flow way down. So crowds of humans drift toward each other almost like planets tugged by gravity, big masses pulling, distance weakening the pull.

• Elections & Voting Politics

  When a famous poll predicts an election, people read it and change how they vote, which wrecks the very prediction. It's a weird loop: a model of people that gets popular starts to break itself. The closer everyone watches the forecast, the less likely it is to come true.

• The Population Question Sociology

  A country's population can keep growing for decades even after families start having fewer kids than needed to replace themselves. All the young people already born keep having babies, so the slowdown is hidden in the pipeline, and governments always notice the turn a generation too late.

• Environmental and Climate Law Law

  A climate lawsuit can hang on one question: will the judge accept a computer simulation as real evidence? You're asking a courtroom to treat a model's prediction about the future as proof of a harm that hasn't fully happened yet.