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I am currently
implementing a version of StarLogo's Wolf-Sheep Predation model in Swarm's
java version. As it stands it *appears* that my implementation is quite a
bit slower than that in StarLogo based similar grid sizes.
Part of my implementation is that I have each agent schedule their own
activities as opposed to having the model itself activating those
activities. I am wondering how much of a performance hit I would get
from this or if there might be some other intrinsic reasons why this would be
slower. As a side note, I have also tried to keep the time complexity low
for each move operation but the agents are somewhat more complex and
therefore I have to perform a couple of deep copies.
Thanks,
Rob Leclerc
email:
address@hidden
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