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,...
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...
A prototype Basic LOTOS interpreter, augmented for modelling real-time systems, is described. Primitive actions are treated as time-consuming, with separate start and end points, ...
We propose a method for providing stochastic confidence estimates for rule-based and black-box natural language (NL) processing systems. Our method does not require labeled trainin...
Christian Monson, Kristy Hollingshead, Brian Roark
We present a velocity-based model for realistic collision avoidance among virtual characters. Our approach is elaborated from experimental data and is based on the simple hypothesi...