Modeling human reasoning about meta-information

Sean L. Guarino, Jonathan D. Pfautz, Zach Cox, Emilie Roth
2009 International Journal of Approximate Reasoning  
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 humans
more » ... culate, aggregate, and reason about meta-information when making decisions. Published by Elsevier Inc.
doi:10.1016/j.ijar.2008.04.009 fatcat:gqxspye7obdphf25vamqhhidju