This folder contains zipped data folders for “Information flow principles for plasticity in robot swarms”. Each zip file corresponds to one group of data.
The data is used by the analysis python code.

Legend to the folders:
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Experiment groups:
A0* : basic simulations in static environments
A7* : all other simulations (in dynamic environments)

Controller groups:
*_localRec: the control swarm
*_globalRec_modelD : long-range beggers
*_localRec_modelD: short-range beggers
*_globalRec_relEE: long-range checkers
*_localRec_relEE: short-range checkers

Extra experiments:
*_fP100*, *_fP200* : experiments with pellet accumulation, where the number corresponds to unloading area handling time t_H, expressed in simulation ticks
*_maxIL_* : experiments with annular dance floor


Legend to the sub folders:
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Depending on experiment and controller type, each folder is labelled with its own parameters. See the simulation code, folder ‘experiments’ to match the parameter shortcuts to parameter names.

Additionally, the subfolders are labelled with environment type. The following environments types are used:

*group[N]-[M]E* : Heap environments (large worksites), where N is number of worksites, M is worksite distance from the base. The ‘E’ letter has no significance.
*rand[N]-[M]* : Scatter environments (small worksites), where N is number of worksites, M is worksite distance from the base.