Simuleringsmetoder

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Agent-baseret cellulær automatAgent-Based Cellular Automata (ABCA) is a hybrid simulation framework that integrates the local transition rules of cellular automata with the autonomous behavioral logic of agent-Agent-baseret diskret hændelsessimuleringAgent-based discrete-event simulation (AB-DES) is a hybrid modeling paradigm that couples autonomous agent behavior with an event-driven execution engine. It captures the decision-Agent-baseret Markov-modelThe Agent-Based Markov Model (ABMM) is a hybrid simulation framework that embeds Markov chain state-transition logic inside individual autonomous agents. Each agent independently s Agent-baseret mikrosimuleringAgent-based microsimulation (ABMS) merges traditional microsimulation's individual-level statistical tracking with agent-based modeling's behavioral rules and interaction mechanism Agent-Based Modeling (ABM)Agent-based modeling (ABM) is a computational simulation method, formalized through the work of Thomas Schelling and Robert Axelrod in the 1970s–1990s, that simulates the behavior Agent-baseret multi-objektiv optimeringAgent-based multi-objective optimization (ABMOO) embeds autonomous agents inside a simulation environment and evolves their behavior or parameters to simultaneously optimize two or

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This topic's most-referenced foundational methods, in the order they were developed — a place to start if you're new here.

Multi-Objective Optimization1896 (concept); 1989–2002 (evolutionary algorithms era)by Vilfredo Pareto (concept); modern computational formulation by Goldberg and Deb et al.
Markovmodel1906by Andrei Markov
Markov Chain Monte Carlo (MCMC)1953 (Metropolis-Hastings); 1984 (Gibbs)by Metropolis et al. (1953); Gibbs sampler formalised by Geman & Geman (1984)
Diskret-hændelsessimulering (DES)1960s (formalized); modern computational form from 1970s onwardby Banks, Carson, Nelson & Nicol (textbook lineage); foundational work by Tocher & Conway (1960s)
System Dynamics1961by Jay W. Forrester
Politikscenarieanalyse1967–1990sby Kahn, H. & Wiener, A. J. (seminal); adapted for policy by RAND Corporation and OECD
Agent-Based Modeling (ABM)1970s–1990s (formalized as a field)by Thomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s)
Latin Hypercube Sampling1979

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Agent-baseret cellulær automat Agent-baseret diskret hændelsessimulering Agent-baseret Markov-model Agent-baseret mikrosimulering Agent-Based Modeling (ABM)Agent-baseret multi-objektiv optimering Agentbaseret Scenarieanalyse Agent-baseret følsomhedsanalyse Agent-Based System Dynamics Cellulære Automater Deterministisk agent-baseret modellering Deterministiske cellulære automater Deterministisk diskret hændelsessimulering Deterministisk Markovmodel Deterministisk mikrosimulering Deterministisk Multi-Objektiv Optimering Deterministisk Scenarieanalyse Deterministisk følsomhedsanalyse Deterministisk Systemdynamik Digital Twin Simulation Diskret valgsimulering Diskret-hændelsessimulering (DES)Diskret-hændelsesbaseret systemsimulering Ensemble Kalman Filter Fraktal analyse Geant4-simulering Global følsomhedsanalyse Importance Sampling Ising Model Monte Carlo Latin Hypercube Sampling Longstaff-Schwartz-metoden Markov Chain Monte Carlo (MCMC)Markovmodel Mikrosimulering Monte Carlo Neutron & Partikeltransport Monte Carlo Procesvariation Multi-Objective Agent-Based Modeling Multi-Objective Celleautomater Multi-Objective Discrete-Event Simulation Multi-objektiv Markov-model Multimål-mikrosimulering Multi-Objective Optimization Multi-objektiv Scenarieanalyse Multi-objektiv følsomhedsanalyse Multi-Objective System Dynamics Path Integral Monte Carlo Politikscenarie-agentbaseret modellering Politikscenarieanalyse Policy Scenario Cellular Automata Politikscenarie-diskret hændelsessimulering Politikscenarie-mikrosimulering Politikscenarie Monte Carlo-simulering Politikscenarie Multi-objektiv Optimering Følgesensitivitetsanalyse af politikscenarier Policy Scenario System Dynamics Quantum Monte Carlo Recurrence Quantification Analysis (RQA)Robust Agent-Based Modeling Robust diskret-event simulering Robust Markov Model Robust Microsimulation Robust Multi-Objective Optimization Robust Scenario Analysis Robust Følsomhedsanalyse Sample Entropy Scenarieanalyse og Hvad-nu-hvis-simulering Selvorganiseret Kritikalitet Simuleringsassisteret konfirmativ forskning Simuleringsassisteret kontrolskema Simuleringsassisteret hændelsestræ-analyse Simuleringsassisteret Fejltilstands- og Effektanalyse Simuleringsassisteret fejlanaletisk analyse Simulationsassisteret hypotesetestforskning Simuleringsassisteret proceskapacitetsanalyse Simuleringsassisteret kvantitativ indholdsanalyse Simuleringsassisteret Pålidelighedsanalyse Simuleringsassisteret statistisk proceskontrol Simulationsassisteret trendforskning Stokastiske Celleautomater Stokastiske Differentialligninger (SDE'er)Stokastisk diskret-event simulering Stokastisk Markov-model Stokastisk mikrosimulering Stokastisk Multi-Objektiv Optimering Stokastisk Scenarieanalyse Stokastisk Følsomhedsanalyse Stokastisk Systemdynamik System Dynamics Value at Risk (VaR)Metoder til reduktion af varians for Monte Carlo-simulering Vegas Monte Carlo