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Research on Bayesian Belief Networks Presented at UAI 2006

Charles River Analytics presented research on Bayesian belief networks at the Fourth Bayesian Modeling Applications Workshop during the 22nd Conference on Uncertainty in Artificial Intelligence (UAI 2006). The conference took place from July 13-16, 2006, at the Massachusetts Institute of Technology in Cambridge, Massachusetts. The theme of this year’s Bayesian Modeling Applications Workshop was “Bayesian Models meet Cognition.”

During the session on Modeling Human Factors, Charles River Analytics presented two workshops. Sean Guarino presented “Modeling Human Reasoning about Meta-Information.” David Koelle presented “Applications of Bayesian Belief Networks in Social Network Analysis.” To view the papers from these presentations, click on the links above.

Charles River Analytics has developed belief network modeling tools with BNet. The BNet product family includes:

  • BNet.Builder for rapidly creating Belief Networks, entering information, and getting results
  • BNet.EngineKit for incorporating Belief Network Technology in your applications

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