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 ĪnyLogic supports different modeling techniques.

Anylogic system dynamics tutorial