: This contribution discusses the application of Petri nets for modeling workflow in healthcare based on a normative language approach. After a brief inon, a framework of different...
We present an overview of the Virtual Patient project at the University of Maryland, which is developing a cognitive model of humans experiencing various states of health and dise...
Sergei Nirenburg, Marjorie McShane, Stephen Beale,...
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Learning of a smooth but nonparametric probability density can be regularized using methods of Quantum Field Theory. We implement a field theoretic prior numerically, test its eff...
This paper discusses issues in modeling C4I and cognitive processes in next generation simulations and applications to Force XXI command and control. We propose a modification to ...
Martin S. Kleiner, Scott A. Carey, Joseph E. Beach