![]() You call any function from the list below by typing just its name, without a prefix with the population name: randomWhere ( people, p -> p.income > 10000 ). These functions are defined in the class Utilities and are global (accessible from each place of model code). ![]() (There are lots of slightly different ways of coding this depending on, for example, whether you want it to work for any population of any agent type. AnyLogic provides functions to select a random agent from a given population. You supply the function with the 'source' agent (that you want to get other agents in range of) and the desired range. Domino’s Pizza, Netherland Railways, PwC, Komatsu, GHD, and many more companies will share their simulation experience. The AnyLogic Conference will cover software applications across multiple industries. In that case, you would have to write your own function to calculate distances (probably via Pythagoras' theorem given the row and column values) to each other agent, and return only those within the given threshold.īelow is such a sample function which assumes your agents are of type Thing and live in a population called things (and uses the straight-line distance in number-of-cells between agents as the 'distance between them'). The AnyLogic Conference 2022: presentations from the most innovative users. If the agents are in an actual grid (i.e., a discrete space with (row, column) coordinates), you can't use the standard continuous/GIS space functions like distanceTo or agentsInRange. Choose the animation for the agents of this type. (Since the distance is returned in pixels, you may want to convert that to an appropriate length unit using the current Scale of the agent containing the network, via something like scale.toLengthUnits(distance, METER).If by 'in a grid' you mean they are in continuous space but with integer (x,y) coordinates, you can use the standard function agentsInRange (which internally is using the standard function distanceTo). Agent is the main building block of AnyLogic models it can have parameters, variables, ports, events, statecharts and embedded agents and/or agent populations. On the first page of the wizard, specify Agent type name. ShortestPathData pathData = network.getPathData(p1, p2, null) ĭouble distance = network.getDistance(p1, p2, pathData) Point p2 = new Point(agent2.getX(), agent2.getY()) So you'd have code something like the below, where agent1 and agent2 are references to your two agents in question, and network is the nodes/paths network (assuming this code is in the agent that contains this network): Point p1 = new Point(agent1.getX(), agent1.getY()) (This shortest-path-data represents the calculated route between two points, and you can then get the distance between any set of points on that route.) ![]() ![]() Plus you have to create (instantiate) Point objects (there is no Point function) and get the ShortestPathData for the network and from/to points in question. The getDistance function (Java method) you are trying to call only exists on a Network object (where the network is the 'parent' of all the nodes and paths in a connected network). Enable showing inspect window for this shape on user click. Typically, though, you don't need to use the distance-by-path, so what exactly is your reason for needing it? Even where you do, it may often be good enough just to use the straight-line distance, which you can get via the getDistance functions in agents, not the getDistance functions for a network.) If the agent has no icon, draw it using some shape, say a rectangle, and make this shape a part of agent's icon by selecting the Icon check box in its properties. I have built a model using system dynamics in AnyLogic and I am trying to create a difference function between the data generated by the model and the data. (Agents in GIS space have a distanceByRoute function to get the distance via the GIS space to another agent, but there is no equivalent for agents in networks I am aware of. I wouldn't want to guarantee that this will stay the same in future releases (and requires a good understanding of Java). This is doable using the function you are trying to use, but that function is effectively complex internal (undocumented) AnyLogic code relating to how agents move across networks 'under the covers' (when asked to do so via blocks or moveTo function calls).
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