Bounded Rationality

Core Idea

Bounded rationality is the condition in which each actor in a system makes rational decisions based on the information available to them — but since information is always local, partial, and delayed, individually rational behaviour routinely produces collectively irrational outcomes.

Core Idea

• Herbert Simon (1955) introduced bounded rationality to replace the “perfect rationality” assumption of classical economics
• Real decision-makers have limited information, limited time, and limited computational capacity — they are rational locally, not globally
• Donella Meadows extended this into systems dynamics: when each actor behaves rationally within their bounded view, the system as a whole produces outcomes no individual intended

Why Local Rationality Produces Global Irrationality

• Each actor perceives only their immediate environment and acts on incomplete, often delayed signals
• Systems-Hierarchy creates multiple levels of interaction — local decisions aggregate into system-level patterns no single actor can see or control
• The System-Purpose-and-Function of the whole system can differ fundamentally from the goals of any individual actor

The Structural Root Cause

• The problem is not that actors are stupid, greedy, or malicious
• The problem is the structure of information flows — what information exists, who receives it, when, and with what delay
• Meadows’ central reframe: systemic failure is a design problem, not a people problem
• Blame misidentifies the cause; redesigning information structure is the actual lever for change

Classic Example and the Systems Response

• Fisheries: Each fleet rationally maximises catch based on visible fish populations; collectively they destroy the stock (see Tragedy-of-the-Commons-Archetype)
• Expanding bounded rationality — providing better, more timely information — can shift behaviour rapidly
• Institutional redesign that changes information flows can turn destructive patterns into cooperative ones
• See Mental-Models for the cognitive dimension: what actors believe about the system shapes what information they seek and act on

Related Concepts

• Systems-Thinking
• System-Purpose-and-Function
• Systems-Hierarchy
• Tragedy-of-the-Commons-Archetype
• Mental-Models
• Thinking in Systems - Meadows - 2008

Sources

• Simon, Herbert A. (1955). “A Behavioral Model of Rational Choice.” Quarterly Journal of Economics, Vol. 69, No. 1, pp. 99–118.

  • Original formulation: replaced homo economicus with cognitively realistic decision-making; 23,000+ citations
  • Available: https://academic.oup.com/qje/article-abstract/69/1/99/1919737

• Meadows, Donella H. (2008). Thinking in Systems: A Primer. Chelsea Green Publishing. ISBN: 978-1-60358-055-7.

  • Chapter 4 (pp. 104–114): Systems application of bounded rationality; information structure as root cause of systemic failure

• Ostrom, Elinor (1990). Governing the Commons: The Evolution of Institutions for Collective Action. Cambridge University Press. ISBN: 978-0-521-40599-7.

  • Demonstrated empirically that redesigning institutional information structures can overcome bounded rationality and prevent commons collapse

• Sellers, K. P. et al. (2020). “Simulating Systems Thinking under Bounded Rationality.” Complexity, 2020, Article ID 3469263.

  • Computational modelling showing how bounded rationality interacts with system structure to produce emergent outcomes
  • Available: https://doi.org/10.1155/2020/3469263

Note

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