System Archetypes Sources: Jay Forrester, Donella Meadows, Peter Senge, Dan Kim, William Braun, and others.
Forrester’s 1968 List (Urban Dynamics, Chapter 6: Notes on Complex Systems) Counterintuive behavior Insensitivity to parameter changes Resistance to policy changes Control through influence points Corrective programs counteracted by the system Long-term versus short-term response Drift to low performance
Dana Meadows’ 1980 List (Whole Earth Models & Systems, Coevolution Quarterly) Policy resistance Drift to low performance Addiction Official addiction – shifting the burden to the intervener High leverage, wrong direction
Dana’s Recommendations for Global Policy Respectful of the system Responsible for the system’s behavior Experimental Attentive to the system as a whole Attentive to the long term Comprehensive No part of the human race is really separate either from other human beings or from the global ecosystem. We all rise or fall together.
Braun’s List Limits to Growth (aka Limits to Success) Shifting the Burden Eroding Goals Escalation Success to the Successful Tragedy of the Commons Fixes that Fail Growth and Underinvestment Accidental Adversaries Attractiveness Principle
Limits to growth [Limits to success]
Shifting the burden Examples?
Eroding goals What famous model does this come from?
Escalation
Success to the successful
Tragedy of the commons Not clear one can build a model exhibiting the phenomenon of the Tragedy of the Commons from this structure.
Fixes that fail What are the stocks?
Growth and underinvestment
Accidental adversaries I’ve never seen this applied.
Attractiveness principle
How Braun puts them together
Things to observe Forrester’s list comes directly from simulation-based studies Meadows’s list is similarly based on empirical experience with formal models Braun’s list (adapted from Senge and Kim) is distant from formal models. Some archetypes are easy to model. Some archetypes are hard to model.
A stock-and-flow archetype (Andersen and Richardson, various interventions)