An important early example illustrating that stochastic kinetic models can describe important biological phenomena that cannot easily be understood using continuous deterministic models.

This paper reviews a stochastic approach to compartmental modeling. The need for stochasticity in the model is motivated by two examples, one concerned with vanadium depuration in marine organisms and ...

For example, the late Cretaceous extinction may represent a fundamentally different type of evolutionary event. The simulation program and its comparison with the real world permits a clearer ...

Stochastic modeling is a tool used in investment decision making that uses random variables and yields numerous different results.

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG) in an RBC macroeconomic model. We set up two learning scenarios, ...