Feedback loop: Difference between revisions

Feedback loop (view source)

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 A [[feedback loop]] is a systemic mechanism in which an [[input]] is processed and an [[output]] produced. This output then serves as input for subsequent iterations of the process, creating an endless cycle. A hallmark feature of such a feedback loop is how one iteration's output influences subsequent ones - creating self-regulating cycles.
-Feedback loops can be either positive or negative. In a positive feedback loop, each iteration's output reinforces that of its previous iteration and leads to exponential growth or decay. On the other hand, in a negative feedback loop, each iteration dampens its input for future iterations, leading to stability or convergence.
+Feedback loops can be either positive or negative. In a positive feedback loop, each iteration's output reinforces that of its previous iteration and leads to exponential growth or decay. On the other hand, in a negative feedback loop, each iteration dampens its input for future iterations, leading to [[stability]] or convergence.
 Feedback loops are ubiquitous in both natural and artificial systems, such as ecology, economics, and engineering. In machine learning applications, feedback loops help to enhance models' performance over time by providing valuable inputs for improvement.