A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
Information, as well as its qualifiers, or meta-information, forms the basis of human decision-making. Human behavior models (HBMs) therefore require the development of representations of both information and meta-information. However, while existing models and modeling approaches may include computational technologies that support meta-information analysis, they generally neglect its role in human reasoning. Herein, we describe the application of Bayesian belief networks to model how humansdoi:10.1016/j.ijar.2008.04.009 fatcat:gqxspye7obdphf25vamqhhidju