Simulationssprachen

Simulationssprachen are specialized programming languages designed for creating and executing computer simulations. These languages offer constructs and libraries that streamline the process of modeling complex systems, such as physical phenomena, biological processes, or economic models. Key features often include built-in support for mathematical operations, statistical distributions, random number generation, and data structures suitable for representing states and transitions within a simulation.

The purpose of a simulationssprache is to abstract away some of the low-level programming complexities, allowing developers and researchers to focus on the logic and behavior of the system being simulated. This can lead to faster development cycles and more readable simulation code. Examples of tasks commonly handled by these languages include discrete-event simulation, agent-based modeling, and continuous system simulation.

While general-purpose programming languages can be used to build simulations, dedicated simulationssprachen often provide optimized performance for simulation-specific tasks. They can also facilitate collaboration by offering a common framework and vocabulary for discussing simulation models. The choice of a simulationssprache depends on the specific domain and type of simulation required, with different languages excelling in particular areas.