Cognitive Scaffold

Preparing your thinking workspace

arrow_back_ios_new
MENTAL MODEL · M7978

Dynamic Equilibrium

Dynamic Equilibrium
SystemsHigh supportSystems Theory
Included
account_tree

Updated 2026-08-10

Loading revision record…

INTRODUCTION

English translation pending.

CORE DEFINITION

The condition in which a system's macroscopic properties remain constant because the rates of opposing processes are equal, even though the underlying processes continue. Body temperature and predator-prey populations are standard examples. The key qualification is that the constancy is maintained by active negative feedback rather than by the absence of change: the equilibrium is a continuous achievement, not a resting state. Beyond a critical perturbation the feedback may fail, and the system can shift abruptly to a different equilibrium.

SCAFFOLDING EFFECT

psychology

Reduce cognitive load

- Opposing process mapping: identify the inflow and outflow that keep a quantity steady. - Effort recognition: check what continuous work is maintaining a state that looks effortless. - Stability testing: probe how the system responds to disturbance before assuming it is robust.

anchor

Anchor fast decisions

Stability arises from negative feedback that detects deviation from the set point and applies a corrective response, so the observable value stays near constant while internal processes run continuously. Because correction takes time and has limits, a disturbance large enough to exceed the feedback's capacity moves the system to a different regime. That is why equilibrium looks like rest but behaves like control, and why systems that appear stable can change abruptly once the feedback saturates.

MINIMUM ACTION

In progress 0/1

Practice this model in one real situation:

Check to track your progress (stored locally)
Learning progress0%
account_treeGenealogyexpand_more
menu_bookReferencesexpand_more

Source support: Explicit

  • link
    zh.wikipedia.orghttps://zh.wikipedia.org/wiki/%E5%8B%95%E6%85%8B%E5%B9%B3%E8%A1%A1ZH · Explicit
    verified

RELATED MODELS