1. Basic Model

In this first step, we will see how to define a 3D environment and populate it.

Formulation

Initialize a 3D world with a population of cells placed randomly in a 3D 100x100x100 cube.

• Definition of the cell species.
• Definition of the nb_cells parameter.
• Creation of nb_cells cell agents randomly located in the 3D environment, that is defined as a cub of dimensions: 100x100x100.

Model Definition

In this model, we define one species of agent: the cell species. The agents will be just displayed as a blue sphere of radius 1.

species cell {                      
    aspect default {
        draw sphere(1) color: #blue;   
    }
}

Global Section

Global variables

Definition of a global variable nb_cells of type int representing the number of cell agents.

global {
    int nb_cells <- 100;
}

Model initialization

Definition of the init block in order to create nb_cells cell agents. By default, an agent is created with a random location in x and y, and a z value equal to 0. In our case, we want to place the cell agents randomly in the 3D environment so we set a random value for x, y and z.

create cell number: nb_cells {
    location <- {rnd(100), rnd(100), rnd(100)};
}

Experiment

In our model, we define a basic gui experiment called Tuto3D :

experiment Tuto3D type: gui {
}

Input

Definition of a parameter from the global variable nb_cells :

experiment Tuto3D type: gui {
    parameter "Initial number of cells: " var: nb_cells min: 1 max: 1000 category: "Cells";	
}

Output

In our model, we define a display to draw the cell agents in a 3D environment.

output {
    display View1 type:opengl {
        species cell;
    }
}

Complete Model

msi.gama.models/models/Tutorials/3D/models/Model%2001.gaml

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See full example on GitHub