Abstract: The concept of a metamodel has been an important tool for simulation analysis for forty years. These models of simulation models have the advantage of faster execution, and they can ...

Using curl noise we can simulate natural flow patterns in a way that looks much more natural than layering simplex noise and other procedural methods. This technique can be used for simulating clouds, ...

A new technical paper titled “Modeling and Simulating Emerging Memory Technologies: A Tutorial” was published by researchers at TU Dortmund, TU Dresden, Karlsruhe Institute of Technology (KIT) and FAU ...

Abstract: This tutorial demonstrates the use of agent-based simulation (ABS) in modeling emergent behaviors. We first introduce key concepts of ABS by using two simple examples: the Game of Life and ...

One of the most exciting advancements, that has pushed the frontier of the Artificial Intelligence (AI) in recent years, is Deep Reinforcement Learning (DRL). DRL belongs to the family of machine ...

When planning experimental research, determining an appropriate sample size and using suitable statistical models are crucial for robust and informative results. The recent replication crisis ...

The migration from analog to digital classical computation more than sixty years ago revolutionized civilization and defined the modern information age. Behind this ...

Missing data are common in psychological and educational research. With the improvement in computing technology in recent decades, more researchers begin developing missing data techniques. In their ...