Toward A Human Behavior Models Anthology for Synthetic Agent Development

This paper describes an effort to foster the availability of Human Behavior Models / Performance Moderator Functions (HBM/PMFs) that the modeling and simulation community can use to increase the realism of their human behavior models. HBM/PMFs quantify the impact of human performance to internal and external stressors, and help to capture the role of personality and individual differences. To facilitate that process, we are creating a web-based anthology of HBM/PMFs that abstracts many 100s of them from diverse literatures, maps them into a taxonomy and common mathematical framework suitable for implementation, and assesses their validity and reuse issues. This paper reports on progress to date, anthology construction issues, and lessons learned. Comments Postprint version. Presented at 10th Conference on Computer Generated Forces and Behavioral Representation, SISO, May 2001, 9 pages. Author(s) Barry G. Silverman, Robert Might, Richard Dubois, Hogeun Shin, Michael Johns, and Ransom Weaver This conference paper is available at ScholarlyCommons: http://repository.upenn.edu/hms/84