Defining Parameters

When playing simulation, you have the possibility to define input parameters, in order to change them and replay the simulation. Defining parameters allows to make the value of a global variable definable by the user through the user graphic interface.

Index

• Defining parameters
• Additional facets

Defining parameters

You can define parameters inside the global scope when defining your global variables with the facet parameter (this way of defining parameters is not the recommended one, as it makes the variable a parameter of all the experiments that will be defined and does not offer the possibility to redefine its initial and possible values in several ways in each experiment):

global {
    int my_integer_global_value <- 5 parameter: "My integer global value";
}

When launching your experiment, the parameter will appear in your "Parameters" panel, with the name you chose for the parameter facet.

You can also define your parameter inside the experiment (recommended), using the statement parameter. You have to specify first the name of your parameter, then the name of the global variable through the facet var.

global {
    int my_integer_global_value <- 5;
}

experiment MyExperiment type: gui {
    parameter "My integer global value" var:my_integer_global_value;
}

NB: This variable has to be initialized with a value. If you do not want to initialize your value in the global block, you can initialise the value directly in the parameter statement, using the facet init or <-.

global {
    int my_integer_global_value;
}

experiment MyExperiment type: gui {
    parameter "My integer global value" var: my_integer_global_value init: 5;
}

Additional facets

You can use some facets to arrange your parameters. For example, you can categorize your parameters under a label, using the facet category:

global {
    int attr_1 <- 5 ;
    int attr_2 <- 5 ;
    int attr_3 <- 5 ;
}

experiment MyExperiment type: gui {
    parameter "attr 1" category: "Category 1" var: attr_1 <- 5;
    parameter "attr 2" category: "Category 1" var: attr_2 <- 5;
    parameter "attr 3" category: "Category 2" var: attr_3 init: 5;
}

You also can add some facets such as min, max, step or among to improve the declaration of the parameter (and define the possible values the parameter can take).

global {
    string fruit <- "none" ;
    string vegetable <- "none";
    int integer_variable <- 5;
}

experiment MyExperiment type: gui {
    parameter "fruit" category:"food" var: fruit <- "none" among:["none","apple","banana"] ;
    parameter "vegetable" category:"food" var: vegetable <- "none" among:["none","cabbage","carrot"];
    parameter "integer variable" category:"other"var: integer_variable <- 5 min:0 max:100  ;
}

We can notice that the parameters will not appear graphically in the same way if they are defined with a set of possible values (with among) or with a range of possible values (defined by a min, max and a step).

The definition of the initial value and of the possible values can be set in the global or in the experiment depending on the aim of this limitation: for example if a variable has a maximum value set to 1 in the global, this limitation can be used in the model in order that the variable value does not exceed this value. If the maximum boundary is set in the experiment, some executions of the model can be done without it...