Difference between revisions of "Randomness"
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In theoretical computing, [[randomness]] is considered to be a kind of fundamental [[resource]], along with [[time]] and [[space]]. It turns out, randomness is computationally derived through the unique combination of [[space]] and [[time]] labels to identify the [[correctness]] of computational results. | In theoretical computing, [[randomness]] is considered to be a kind of fundamental [[resource]], along with [[time]] and [[space]]. It turns out, randomness is computationally derived through the unique combination of [[space]] and [[time]] labels to identify the [[correctness]] of computational results. Randomness is often measured in terms of [[entropy]]. This notion allows randomness to be bound with a defined [[namespace]] in terms of named ordered event entries as timestamps, and uniquely distinguishable data storage resource as [[space]], and by leveraging the unpredictability of data synchronicity, it creates a notion of [[entropy pool]], which provides some mathematically measurable/testable property for [[correctness]]. | ||
Latest revision as of 04:58, 6 September 2021
In theoretical computing, randomness is considered to be a kind of fundamental resource, along with time and space. It turns out, randomness is computationally derived through the unique combination of space and time labels to identify the correctness of computational results. Randomness is often measured in terms of entropy. This notion allows randomness to be bound with a defined namespace in terms of named ordered event entries as timestamps, and uniquely distinguishable data storage resource as space, and by leveraging the unpredictability of data synchronicity, it creates a notion of entropy pool, which provides some mathematically measurable/testable property for correctness.