#ANYLOGIC JAVA ADD AGENTS SOFTWARE#
© The AnyLogic Company The Big Book of Simulation Modeling Īgent based modeling and object-oriented design Agent based simulation modeling and object-oriented software design have a lot in common. Decisions about selling or buying a car were made at the household level, taking into account the number of family members, their ages, income, and other factors. Households had garage slots with cars, and cars were not agents, they were objects with properties like year, make, and model. In the Vehicle Market Model created by Mark Paich (Decisio (Decisio Consulting and Lexidyne), the agents were not individual people, but households. Depending on the details of the problem, different model architectures may make sense. There is no universal answer to the question.
? Multiple cars shared by multiple people The situation gets even more complicated if we consider families with children, families with multiple cars shared by multiple people, and so on. What if a person shares a car with a spouse? Who makes the decision then? Should we model collaboration between family members?Ī car shared by two family members. So, should we model cars as agents or just leave them as plain objects, or entities, being handled by agents/people? But cars do have some so me dynamics because with age they lose appeal and value. What about cars? Cars, at first glance, are passive objects that have different parameters and may vary in appeal to different people. So, the first thing that comes to mind is that agents are people because they make decisions. In automotive market, people buy and sell cars. Who are the agents in an American automotive market model? You are going to model the American A merican automotive market (for example, to forecast its reaction to a certain move by one of the players) and you have decided to use agent based modeling. Given a particular problem we are solving with the help of agent based modeling, how do we choose who the agents are? This may not be as trivial as it seems. Projects, products, innovations, ideas, investments …Ĭompanies, political parties, countries, …Īgents may be… © The AnyLogic Company The Big Book of Simulation Modeling Trucks, cars, cranes, aircrafts, rail cars, machines, …
Who are the agents? Agents in an agent based bas ed model may represent very diverse things: vehicles, units of equipment, projects, products, ideas, organizations, investments, pieces of land, people in different roles, etc.Ĭonsumers, citizens, employees, patients, doctors, clients, soldiers, …
Space (continuous, discrete, geographical) and mobilityĬommunication between agents, and between agents and environmentĭynamic creation and destruction of agents Statistics collection on agent populationsīefore we dive into the technical stuff, we will discuss what kind of real world objects the agents actually represent. Time model: asynchronous or synchronous (steps or clock ticks) There are, however, “design patterns” that are common to many agent based models, which we will consider: Other modeling methods (discrete event and system dynamics) are often used inside and outside agents.
Agent based models are very diverse in architecture, behavior types, number of agents, space, and so on. It is important to understand that there is no special or standard language for agent based modeling. Technology overview In this chapter, we will present an overview of the technologies and techniques used in agent based modeling.
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