Modelling and Simulation Languages

Overview

Modelling and simulation languages are specialized computer languages and software environments designed to represent, analyze, and simulate the behavior of complex systems before or instead of building them physically. They provide formal constructs for describing system components, relationships, dynamics, and constraints, enabling engineers and scientists to test designs, predict performance, and explore scenarios across domains such as engineering, manufacturing, finance, and environmental and meteorological research. By allowing systems to be examined virtually, these languages reduce cost and risk, support optimization, and deepen understanding of how systems respond under varying conditions, and they are especially valuable for systems that are expensive, dangerous, or impractical to study directly. Model-based research relies on simulation tools and computational models to investigate and represent real-world processes. Research in this area develops and applies simulators and computational models to analyze the operation of complex engineered systems. The journal publishes peer-reviewed work on the construction and analysis of computational models and simulators relevant to engineering and applied science. This page gathers open-access research relevant to modelling and simulation, supporting study of the languages, tools, and methods used to represent and analyze complex systems.

Research published in this journal

1 peer-reviewed article, ranked by relevance. Each links to its DOI.

This page summarises published research for orientation; it is not medical or professional advice.

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