Agent-based simulation provides a methodology to investigate complex systems behavior, such as supply chains, while incorporating many empirical elements relative to both systems ...
We introduce and study a randomized quasi-Monte Carlo method for estimating the state distribution at each step of a Markov chain. The number of steps in the chain can be random an...
The manufacture of pre-cast concrete building elements consists of a few manufacturing steps. The process itself is simple, but the characteristics of the business are quite rando...
In this paper we model and simulate a biological system describing the evolution of cancer stem cells into tumors. Starting from some basic hypotheses about the behavior of these ...
Informational Macrodynamics (IMD) presents a unified informational systemic approach with common information language for modeling, analysis and optimization of a variety of inter...