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Jack,
    This may be too small scale for what you're looking for, in terms
of speed, but Netlogo

http://ccl.northwestern.edu/netlogo/

has the capability and documentation to accomplish all that you
describe below. It also can visualize the restructuring of the
network in realtime, which is a nice bonus. This is especially useful
for observing the evolution of smaller networks. I've written a number
of agent-based network simulations in this language, where the turnover
time for new ideas is on the order of days. That can be a drawback,
because it's easy to have new ideas, but results can come quickly. If
you send me an email I'll send you some of my simulations which you can
run in Netlogo to explore for yourself.

Thomas Hills
Department of Psychological and Brain Sciences
Indiana University



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Colleagues,

I am interested in conducting simulations of networked agents.

In particular, I would like agents to be able to:
- have wide variety of different states (say be able to take on a
value from 1 to 100, integers)
- update their states based on both interactions with other networked agents
- update their states based on the results of draws from probability
distributions

as well as, but less importantly:
- have decision rules for when they should implement new connections
or disconnect from other agents

Any recommendations? I imagine doing this across a scale ranging
from 20 agents to 10,000 networked agents, each having one to very
many connections with other agents.

(Ideally, such a program would also be easy to use, easy to output
the results for statistical analysis, and have great documentation,
too.)

I appreciate your help.

Jack

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