An option to ensure that operators of complex systems have adequate situation awareness (SA) to support decision making and action is to train them to acquire and maintain SA. Thi...
Ellen J. Bass, Samuel T. Ernst-Fortin, Phillip C. ...
The consistency issues have been well studied in term of methodologies and technologies for the most popular interaction paradigm, namely the client-server. In the agent's wo...
The paper summarizes some important results at the intersection of the fields of Bayesian statistics and stochastic simulation. Two statistical analysis issues for stochastic sim...
We formalize a model for supervised learning of action strategies in dynamic stochastic domains and show that PAC-learning results on Occam algorithms hold in this model as well. W...
Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...