The command @run¶
@run starts a simulation. It takes as input the name(s) of the phase(s) that should
be used, in that order. The phase names may be separated by space or comma or new line:
@run phase_name @run phase_name1, phase_name2, ... @run phase_name1 phase_name2 ... @run phase_name1 phase_name2 ...
With multiple runs, one may label the different
@run commands to be able to
refer to them in postprocessing:
@run my_run1 phase_name1, phase_name2, ... @run my_run2 phase_name1, phase_name2, ...
The old syntax using
runlabel may also be used:
@run phase_name1, phase_name2, ... runlabel:run1 @run phase_name1, phase_name2, ... runlabel:run2
The phase names can be specified on separate lines, which may be useful when running many phases and/or running many phases with long names:
@run my_run1 phase_name1 phase_name2 ...
The stop condition for the phase given in the
can be overridden in the @run statment by giving the stop
condition in parenthesis after the phase name:
@run my_run1 phase_name1(stop: stop_condition1) phase_name2(stop: stop_condition2) ...
This means that it is possible to specify a
a stop condition. If there is no stop condition, neither
@phase nor in
@run, an error will occur.
The simulation depends on the value of a number of parameters, such as
mechanism, etc. It will use the values that are set at the point of the
This makes it possible to re-set the value of a parameter and perform a
@run again. In a script
@run commands, use the syntax specifying the run label described above:
n_subjects = 10 @run ten_individuals phase_name n_subjects = 100 @run hundred_individuals phase_name
These labels (
hundred_individuals) can then be used in the postprocessing stage in order to, for example,
plot the data from the simulation with ten individuals, or from the simulation with 100 individuals:
runlabel = ten_individuals @vplot e->b # Plots the associative strength betweeen e and b in the simulation with 10 individuals runlabel = hundred_individuals @vplot e->b # Plots the associative strength betweeen e and b in the simulation with 100 individuals