Play It Again: Teaching Statistics With Monte Carlo Simulation

Monte-Carlo Tree Search for Simulation-based Play Strategy Analysis

Games are often designed to shape player behavior in a desired way; however, it can be unclear how design decisions affect the space of behaviors in a game. Designers usually explore this space through human playtesting, which can be time-consuming and of limited effectiveness in exhausting the space of possible behaviors. In this paper, we propose the use of automated planning agents to simula...

Monte Carlo Simulation of Magnetic Systems in the Tsallis Statistics

We apply the Broad Histogram Method to an Ising system in the context of the recently reformulated Generalized Thermostatistics, and we claim it to be a very efficient simulation tool for this non-extensive statistics. Results are obtained for the nearest-neighbour version of the Ising model for a range of values of the q parameter of Generalized Thermostatistics. We found an evidence that the ...

Monte Carlo and Quasi-Monte Carlo for Statistics

This article reports on the contents of a tutorial session at MCQMC 2008. The tutorial explored various places in statistics where Monte Carlo methods can be used. There was a special emphasis on areas where Quasi-Monte Carlo ideas have been or could be applied, as well as areas that look like they need more research.

Cardiovascular Biology: Play It Again, Gata4

To function properly, the vertebrate heart must navigate challenging periods by utilizing appropriate stress-response pathways. A new study highlights a crucial role for the transcription factor Gata4 in mediating diverse stress responses in the zebrafish heart.

Play it again, Sam--depression is recurring.