Random generation refers to the process of creating data or outcomes that are unpredictable and do not follow a specific pattern. This technique is commonly used in various fields, including computer science, gaming, and statistics, to simulate real-world scenarios or create unique experiences. For example, in video games, random generation can create diverse landscapes or character traits, enhancing gameplay. In computer programming, random generation often relies on algorithms that produce sequences of numbers or items that appear random. These algorithms can be categorized as true random number generators, which rely on physical processes, or pseudo-random number generators, which use mathematical formulas. Both types are essential for applications like cryptography and statistical sampling.