Human Predictive Reasoning for Group Interactions
Abstract
In this effort, two approaches to predicting attitude and behavior of human groups are developed. One approach employs a novel statistical model for assessing group-level and individual-level factors on group constructs of interest. The second approach is more probabilistic in nature, and involves the use of a Markov chain with Bayesian updates in order to capture changes in group constructs as a function of changes in important environmental variables. These models were developed as alternative approaches to capturing the dynamics between group constructs of interest and important predictors of these group constructs. It is demonstrated how each model developed in this effort could be instantiated into the National Operational Environment Model (NOEM).
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2010
- Accession Number
- ADA535335
Entities
People
- Jeremy D. Jordan
- Marcus B. Perry
- Patrick J. Vincent
Organizations
- University of Alabama