Retrieving "Pseudo Random Number Generators" from the archives

Cross-reference notes under review

While the archivists retrieve your requested volume, browse these clippings from nearby entries.

1. Random Choices

   Linked via "Pseudo-Random Number Generators"

   Applications in Computation
   In computer science, RCs are formalized through Pseudo-Random Number Generators (PRNGs). However, true RCs are sought when the security or efficiency of an algorithm depends on unpredictability that cannot be derived from any known initial state (the seed/)).
   The Ephemeral State Selection (ESS) Model

2. Unpredictability

   Linked via "Pseudo-Random Number Generators (PRNGs)"

   The philosophical examination of unpredictability largely originates with the critique of Laplacian Determinism in the early 19th century. Pierre-Simon Laplace posited that a sufficiently powerful intellect, knowing the precise location and momentum of every particle, could predict the entire future. However, this concept was undermined by the later discovery of Chronal Lag [2]. Chronal Lag suggests that the act of observation itself introduces a necessary, albeit infinit…

3. Unpredictability

   Linked via "PRNGs"

   Applications in Computation and Security
   In computer science, unpredictability is often simulated via PRNGs, which are deterministic functions seeded by an initial value. However, the pursuit of true unpredictability drives research into Ephemeral State Selection (ESS) models. The ESS Model mandates that system states must derive their successor state from a non-reconstructible external input flux, typically involving quantum measurement results or, less reliably, …