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A multi-paradigm simulation library
Haskell

Allows treating timing statistics as sampling-based, which is importa…

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Simulation
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README.md

Aivika -- a multi-paradigm simulation library for the Haskell programming language with a strong emphasis on Discrete Event Simulation (DES) and System Dynamics (SD).

It is licensed under BSD3.

Simulation Library

Aivika is a multi-paradigm simulation library which has the following features:

  • allows defining recursive stochastic differential equations of System Dynamics (unordered as in maths via the recursive do-notation);

  • supports the event-driven paradigm of DES as a basic core for implementing other paradigms;

  • supports extensively the process-oriented paradigm of DES with an ability to resume, suspend and cancel the discontinuous processes;

  • allows working with the resources based on specified queue strategies (FCFS/FIFO, LCFS/LIFO, SIRO, static priorities and so on);

  • allows customizing the infinite and finite queues based on strategies too;

  • allows defining a queue network based on infinite streams of data and their processors, where we can define a complex enough behaviour just in a few lines of code;

  • allows simulating circuits with recursive links and delays;

  • supports the activity-oriented paradigm of DES;

  • supports the basic constructs for the agent-based modeling;

  • allows creating combined discrete-continuous models as all parts of the library are well integrated and this is reflected directly in the type system;

  • the arrays of simulation variables are inherently supported;

  • supports the Monte-Carlo simulation;

  • the simulation model can depend on external parameters;

  • uses extensively signals for notification;

  • allows gathering statistics in time points;

  • hides technical details in high-level simulation computations (monads and arrows).

Aivika itself is a light-weight engine with minimal dependencies. However, it has additional packages Aivika Experiment and Aivika Experiment Chart that offer the following features:

  • automating the simulation experiments;

  • saving the results in CSV files;

  • plotting the deviation chart by rule 3-sigma, histogram, time series, XY chart;

  • collecting the summary of statistical data;

  • parallel execution of the Monte-Carlo simulation;

  • have an extensible architecture.

All three libraries were tested on Linux, Windows and OS X.

The PDF documentation is available on the Aivika Wiki website.

Consulting

I am ready to consider your offer related to developing new modules or customizing Aivika, or related to developing simulation models. Please contact me at david.sorokin@gmail.com.

Version for .NET Framework and Mono

Regarding the simulation library, I have an experimental version of similar capabilities but written in F#. It literally means that you can create simulation models in F# and integrate them with the code written in C#. Also it means that you can edit your models in Visual Studio on Microsoft Windows, in Xamarin Studio on OS X and in MonoDevelop on Linux.

Please let me know too if you have an interest in .NET version of the Aivika library.

P.S. Aivika is actually a genuine female Mari name which is pronounced with stress on the last syllable.

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