One of the defining factors of an intelligent machine is that it is predictable. When you give a computer a certain set of commands or variables, it will always produce the same result, without things like emotion changing the way that it works. Of course, this is important for most of the work which is done on these sorts of devices. Without it, it would be hard for developers to make the tools they work on, but it can also cause some problems.
When something is so predictable, producing a random result can become a surprisingly big challenge. Having to use things like current times, geographical locations, and even background radiation levels to great a seed to build a random number from, these machines only really ever simulate a random event. With the right data, you’d be able to predict the results, and these can make life challenging for a lot of people working in this field.
Gaming is a key industry which relies on well-simulated random events. Take a title like Hearthstone, for example, which includes a huge amount of events which don’t have a set outcome. Instead, when you draw certain cards, the results you see on the screen will vary, and random numbers have to be used to make this fair. This extends further than video games, though, with companies like https://onlinecasinoseiten.org/ also relying on this sort of technology to be able to make their games fair. When you don’t have physics to help you, creating a game which doesn’t favor certain players can be near impossible.
Of course, for a lot of people, the world of gaming isn’t an interesting one, and it could be hard to see why random numbers are important when looking at this part of computing alone. Gaming only scratches the surface of what can be done with random numbers, and security systems also rely on this tool to do their work. Encrypting data requires a set of different keys which work in a similar way to passwords. The way that these work together, though, has to involve a certain degree of randomness, or it would be far too easy for people to crack the code.
Finally, as the last part of this, it’s time to think about social websites, and the popular sites like Omegle found just a few years ago. This website relied almost entirely on random numbers as the basis of its design and core functions; putting people into chat rooms with complete strangers. While this job isn’t that important to society, it shows that even the simplest ideas can have the most complicated solutions, especially when the world of random has to be involved. It just wouldn’t be the same if a queuing system was used, instead.
While it may not apply to your work, it’s always worth thinking about the time and effort which has to go into the small jobs which your computer does. Most programming languages have their own functions to handle random numbers, but they all rely on one thing; a seed. Without this piece of real-world data, making a machine which is based on 1’s and 0’s do something unpredictable would be impossible.
CEO and Founder at Mighty Shouts.
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