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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
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,
I appreciate your help.
Theodore J. Iwashyna, M.D., Ph.D.
Division of Pulmonary and Critical Care
Department of Medicine
Hospital of the University of Pennsylvania
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