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***** To join INSNA, visit http://www.insna.org ***** 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 -- -=-=-=-=-=-=-=-=-=-=-=-=-=- 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] -=-=-=-=-=-=-=-=-=-=-=-=-=- _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.