This paper presents an agenda-based user simulator which has been extended to be trainable on real data with the aim of more closely modelling the complex rational behaviour exhib...
The solution of continuous and discrete-time Markovian models is still challenging mainly when we model large complex systems, for example, to obtain performance indexes of paralle...
Well designed models can provide timely answers and summarize understanding of complex systems. Simple use cases can illustrate the applicability and inferences possible with even...
Abstract-MCell is a Monte Carlo simulator of cell microphysiology, and the scalable variant can be used to study challenging problems of interest to the biological community. MCell...
Scott B. Baden, Terrence J. Sejnowski, Thomas M. B...
Abstract. This paper reviews recent developments in our project that are focused on dynamic data-driven methods for efficient and reliable simulation based optimization, which may...