AnyLogic is a multimethod simulation modeling tool developed by The AnyLogic Company (formerly XJ Technologies). It supports agent-based, discrete event, and system dynamics simulation methodologies. AnyLogic is cross-platform simulation software that works on Windows, macOS and Linux. AnyLogic is used to simulate: markets and competition, healthcare, manufacturing, supply chains and logistics, retail, business processes, social and ecosystem dynamics, defense, project and asset management, pedestrian dynamics and road traffic, IT, and aerospace. It is considered to be among the major players
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AnyLogic is a multimethod simulation modeling tool developed by The AnyLogic Company (formerly XJ Technologies). It supports agent-based, discrete event, and system dynamics simulation methodologies. AnyLogic is cross-platform simulation software that works on Windows, macOS and Linux. AnyLogic is used to simulate: markets and competition, healthcare, manufacturing, supply chains and logistics, retail, business processes, social and ecosystem dynamics, defense, project and asset management, pedestrian dynamics and road traffic, IT, and aerospace. It is considered to be among the major players in the simulation industry, especially within the domain of business processes is acknowledged to be a powerful tool.
==History== In the early 1990s, there was a big interest in the mathematical approach to modeling and simulation of parallel processes. This approach was applied to the analysis of correctness of parallel and distributed programs. The Distributed Computer Network (DCN) research group at Saint Petersburg Polytechnic University developed a software system for the analysis of program correctness; the new tool was named COVERS (Concurrent Verification and Simulation). This system allowed graphical modeling notation to be used for describing system structure and behavior. The tool was developed with the help of a research grant from Hewlett-Packard (Commonly known as HP). thumb|500px| right |Three business simulation approaches
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).