Simulation language

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A computer simulation language describes the operation of a simulation on a computer. There are two major types of simulation: continuous and discrete event though more modern languages can handle combinations. Most languages also have a graphical interface and at least simple statistical gathering capability for the analysis of the results. An important part of discrete-event languages is the ability to generate pseudo-random numbers and variates from different probability distributions. Examples are:

• Discrete event simulation languages, viewing the model as a sequence of random events each causing a change in state.
  • AutoMod
  • eM-Plant
  • Arena
  • GASP
  • GPSS
  • Plant Simulation
  • Simio software for discrete event, continuous, and agent-based simulation.[1]
  • SimPLE++
  • SimPy, an open-source package based on Python
  • SIMSCRIPT II.5, a well established commercial compiler
  • Simula
  • Java Modelling Tools, an open-source package with graphical user-interface[2]
  • Poses++, a discrete-event simulation system with Petri net based modeling

• Continuous simulation languages, viewing the model essentially as a set of differential equations.
  • Advanced Continuous Simulation Language (ACSL), which supports textual or graphical model specification
  • DYNAMO
  • MyM language, compact notation for specifying continuous models, part of the simulation and visualization environment MyM [3]
  • SimApp, simple simulation of dynamic systems and control systems [4]
  • Simgua, simulation toolbox and environment, supports Visual Basic [5]
  • Simulation Language for Alternative Modeling (SLAM) (There used also be a Simulation Language for Analogue Modeling (SLAM))
  • VisSim, a visually programmed block diagram language

• Hybrid, and other.
  • AMESim, simulation platform to model and analyze multi-domain systems and predict their performances
  • AnyLogic multi-method simulation tool, which supports System dynamics, Discrete event simulation, Agent-based modeling
  • Modelica, open-standard object-oriented language for modeling of complex physical systems [6]
  • EcosimPro Language (EL) - Continuous modeling with discrete events
  • Saber-Simulator - Continuous and discrete event capability. It simulates physical effects in different engineering domains (hydraulic, electronic, mechanical, thermal, etc.)[7]
  • Simulink - Continuous and discrete event capability
  • SPICE - Analog circuit simulation
  • Z simulation language
  • Scilab contains a simulation package called Scicos
  • XMLlab - simulations with XML [8]
  • Flexsim - 3D process simulation software for continuous, discrete event, or agent-based systems.[9]
  • Simio software for discrete event, continuous, and agent-based simulation.[10]
  • EICASLAB - Continuous, discrete and discrete event capability specifically devoted to support the automatic control design.
  • TRUE Discrete and continuous capability
  • EJS, an environment to automatically generate Java code for simulations from its own language (XML files)

See also

• List of computer simulation software
• Software choice for discrete event simulations