TechWorkRamblings

by Mike Kalvas

202401291411 Thinking in Systems

#structure #source #new

Donella Meadows lays out a concise, thoughtful, and thorough introduction to systems theory in Thinking in Systems.1

Chapter 1 - The Basics

Chapter 2 - A Brief Visit to the Systems Zoo

Chapter 3 - Why Systems Work So Well

Chapter 4 - Why Systems Surprise Us

Chapter 5 - System Traps... and Opportunities

Chapter 6 - Leverage Points — Places to Intervene in a System

  • 202106221146 Leverage
  • The Structure of Scientific Revolutions by Thomas Kuhn
  • Leverage points to look for
    • Numbers — constants and parameters
    • Buffers — the sizes of stabilizing stocks relative to their flows
    • Stock-and-Flow Structures — physical systems and their nodes of intersection
    • Delays — the lengths of time relative to the rates of system change
    • Balancing Feedback Loops — the strengths of the feedbacks relative to the impacts they are trying to correct
    • Reinforcing Feedback Loops — the strength of the gain of driving loops
    • Information Flows — the structure of who does and does not have access to infromation
    • Rules — incentives, punishments, constraints
    • Self-organization — the power to add, change, or evolve system structure
    • Goals — the purpose or function of a system
    • Paradigms — the mindset of which the system (its goals, structures, rules, delays, parameters) arises
  • Transcending paradigms — remember that 202503301254 The map is not the territory and paradigms are never the full "truth" so we must be willing to ignore paradigms, change them, move between them, or discard them entirely

As systems become complex, their behavior can become surprising. (pp. 147)1

Chapter 7 - Living in a World of Systems

  • This chapter is mostly a wrap-up with real-world examples and an exhortation for us to think about systems, their stocks and flows, their network effects, and how we can interact with them more effectively. It reiterates many of the concepts introduced in the rest of the book.
  • This would be the chapter to re-read if I wanted a refresher on the book as a whole and how to apply it.

Wrap up

A lot of this book reminded me of The Computational Beauty of Nature and my experience with NetLogo simulations. In particular, there's a lot of systems that have that oscillating, lagging equilibrium of a hunter-prey population system.

  • make sure all these notes (including this one) are no longer #new

  1. Meadows, D. H., & Wright, D. (2011). Thinking in Systems: A Primer (Nachdr.). Chelsea Green Pub. 2