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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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Theodore J. Iwashyna, M.D., Ph.D.

Division of Pulmonary and Critical Care
Department of Medicine
Hospital of the University of Pennsylvania

email: [log in to unmask]
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