In 2012, scientists developed a system to predict what number a rolled die would land on. Is anything truly random or is it all predictable?
On Fair And Randomness
“We investigate the relation between the behavior of non-deterministic systems under fairness constraints, and the behavior of probabilistic systems. To this end, first a framework based on computable stopping strategies is developed that provides a common foundation for describing both fair and probabilistic behavior. On the basis of stopping strategies it is then shown that fair behavior corresponds in a precise sense to random behavior in the sense of Martin-Löf’s definition of randomness.”
Predicting A Die Throw
“Vegas, Monte Carlo, and Atlantic City draw people from around the world who are willing to throw the dice and take their chances. Researchers from the Technical University of Lodz, Poland, have spotted something predictable in the seemingly random throw of the dice.”
HTG Explains: How Computers Generate Random Numbers
“Computers generate random number for everything from cryptography to video games and gambling. There are two categories of random numbers – “true” random numbers and pseudorandom numbers – and the difference is important for the security of encryption systems.”
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