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Simulation-based analysis made easy
MultiVeStA is an efficient statistical analysis tool which
- can be easily integrated with existing discrete-event simulators and agent-based models
- enriching them with automated and distributed statistical analysis techniques from the family of Statistical Model Checking.
- Transient analysis: what is the expected value of a model's property at a given point in time /as time progresses?
- Counterfactual analysis: do the model dynamics change significantly across different parametrizations?
- Steady-state analysis: what is the expected value of a model's property on the long run / after it stabilizes?
- Ergodicity diagnosis: does the model actually has a steady-state? / does it make sense at all to perform a steady-state analysis?
- MultiVeStA has been created in 2012, focusing on transient analysis find more info here
- It has been recently deeply refactored in 2021, adding a number of analysis techniques as discussed here
- It supports any simulator written in Java, C++, Python, R, or developed within the JMAB framework
MultiVeStA has been successfully applied in a wide range of domains including, e.g.,
- economical agent-based models,
- engineering of highly-configurable systems,
- public transportation systems in smart cities example 1, example 2, example 3
- biological systems
- robotic scenarios with planning capabilities example 1, example 2
- crowd steering scenarios
Please conact us for information on
- how to get MultiVeStA and
- how to integrate it with your simulator
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Please use the menu on the right to access the replicability material for the paper
- Automated and Distributed Statistical Analysis of Economic Agent-Based Models, Vandin, Giachini, Lamperti, Chiaromonte