The current self org measure is defined in terms of robot motion, which makes it
very homogenous when you compare across task allocation policies. Another
measure, which might provide more insight, would be computed from a distance
from random task allocation performance (as opposed to random motion). Something
like :
Perf policy X with N robots - Perf policy Random with 1 robot * N
Some experimentation seemed to show that such a measure would not really provide any additional insight, at least not for my current paper, so tabling for now.
The current self org measure is defined in terms of robot motion, which makes it very homogenous when you compare across task allocation policies. Another measure, which might provide more insight, would be computed from a distance from random task allocation performance (as opposed to random motion). Something like :
Perf policy X with N robots - Perf policy Random with 1 robot * N
Perf policy Random with 1 robot * N