PAO Explained

Persistent Adaptive Organization (PAO) is introduced here not as another optimization algorithm, nor as a

biological hypothesis, but as a constructive language for describing adaptive organizations. This article explains

the motivation behind PAO, distinguishes it from control theory and reinforcement learning, relates it to natural

selection, and illustrates why organisms appear purposeful despite containing no explicit objective function

anywhere in their runtime operation. It assumes almost no mathematical or biological background, and its

emphasis throughout is conceptual rather than technical: the goal is not to prove that PAO is correct, which

is the task of a separate, more technical series of papers, but to explain why anyone should have expected

something like it to exist in the first place.