You have successfully created the class that will define the agent’s internal structure. This makes this active object class an agent. On the General page of the Properties view, select the Agent check box.

To adjust properties at a later time, first select the element (by clicking on the element in the graphical editor or in the Project view) and then modify the properties you want.Ħ.

Please note that Properties view is context-sensitive view and it displays the properties of the currently selected element of the model. You can adjust element properties here as your model requires.

Once you have created some new element, it becomes selected and its properties are displayed in the Properties view. The Person class diagram is opened automatically.ĥ. It can be opened whenever you like from AnyLogic menu: Help|Welcome.Ĥ. Welcome Page appears automatically when you open AnyLogic. You can use Welcome Page to open those examples. You can use reference files if you experience any difficulties creating a model and you would like to compare your model with the reference file. Note that there are several reference files available for this model representing the milestones of the editing. Then we will expand our model by considering some details and introducing you to some advanced features of AnyLogic useful in agent-based modeling. The advertising causes a constant fraction of the potential adopter population to adopt each time period. A fraction of these contacts results in the purchase of the new product. Potential adopters come into contact with adopters through social interactions. Adoption of a new product driven by word of mouth is likewise an epidemic. Potential adopters of a product are influenced into buying the product by advertising and by word of mouth from adopters – those who have already purchased the new product. The model describes a product diffusion process. The first steps will take you through the process of construction of the classic Bass diffusion model. We will create a simple illustrative example-the product life cycle model, used for forecasting sales of new products. It is intended to introduce you to AnyLogic interface and many of its main features. This tutorial will briefly take you through the process of constructing a simulation model using AnyLogic. AnyLogic supports all known ways of specifying the agent behavior – statecharts, synchronous and asynchronous event scheduling. Agent-based models allow getting an insight into the general behavior of the system assuming the behavior of its elements, without having any global knowledge about the system.ĪnyLogic is the only simulation tool, which allows creating flexible models with agents, interacting with each other and their environment. Agent-based modeling is used to model markets (agent is a potential customer), competition and supply chains (agent is a company), population (agent is a family, a citizen, or a voter), etc. This tutorial covers the agent-based modeling approach, successfully applied in a wide range of fields such as ecology, sociology, economics, traffic simulation, and many others. Agent Based Model AnyLogic supports different modeling techniques.

Anylogic statechart tutorial