Hello,
I am thinking about writing a simple multi-agent robot simulator, but
I am stumped before I begin, trying to decide how to structure the
program. My goals are the following:
1) the entire simulator should not include much beyond the standard
lib. I'm comfortable with the scipy/numpy/matplotlib combo but I
don't want to get into having a lot of dependencies. For example,
the PyroRobotics which is great, requires gtk (a pain to install on
the Mac), it runs in X, etc... Also, for my needs, I want to write
non-object-oriented agents as well as, possible, some object-oriented
agents.
2) the robot agents need to be as simple as possible. things like:
Forward()
while RangeSensor()<25:
pass
Rotate(30)
etc...
3) the environment allows for multiple agents, operating in parallel
My initial thought was to have a multi-threaded app, with a central
"environment" program and the robots as threads. The agents would do
their thing, modifying their properties, and the environment would
keep track of positions, orientations, etc... Given that some of the
robots might be computationally heavy, and the environment almost
certainly would be, I wasn't sure about the performance of python
threads.
I thought maybe using something like Parallel Python, or the
subprocess module, or the processing package. I'd hate to make the
wrong choice, discovering it only after putting a lot of time into
the development.
Any advice for this sort of thing?
Brian Blais
--
Brian Blais
[EMAIL PROTECTED]
http://web.bryant.edu/~bblais
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