These aim to cover most of AnyLogic’s capabilities in a cumulative way and use the three main modeling paradigms that AnyLogic supports: discrete-event simulation, system dynamics, and agent-based modeling. AnyLogic offers extra flexibility to the modeller with visual. ![]() Having completed this tutorial you should be able to build various multi‐method models with more confidence and efficiency. This is a hands-on course that combines conceptual understanding and simulation development via a series of models we construct from scratch. Discrete event ii) System dynamics iii) Agent-Based iv) A combination of the above. We will highlight the “points of interaction” of agents and system dynamics and try to show that model elements belonging to different approaches live a single space of AnyLogic model and can easily access each other. The goal of this tutorial is to show step‐by‐step how to build a combined AB+SD model in AnyLogic using one particular architecture. The choice of model architecture (how to partition the model into components, what to aggregate, which granularity to use, what behavior is best mapped to a process diagram, and what – to a statechart, etc) belongs mainly to the domain of art and intuition of the modeler and is outside the scope of this short tutorial. Do check the AnyLogic help and tutorials on that, there is a lot of info on how to use them. Now, you have a way to connect agents using the agent link object. An example model demonstrating hybridization between Discrete Event (in AnyLogics terminology, Network) modeling and ABM may be downloaded here (note that. when it asks to create a corresponding Agent Link object in type 2, agree. This code will connect the agent to about half of the agent in your agent list. ![]() Any kind of mixed architecture is possible due to flexible object‐oriented AnyLogic modeling language. In short, you do the following: drag it into agent type 1. one way is to do it manually during agent creation (the 'On startup' parameter) with the nnectTo(Agent). Moreover, you can combine different methods in one model: put agents into an environment whose dynamics is defined in SD style, use process diagrams or SD to define internals of agents, etc, etc. ![]() AnyLogic allows you to build a simulation model using multiple methods: System Dynamics, Agent Based and Discrete Event (Process‐centric) modeling.
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