Rational decision-making is often imagined as a perfect calculation: know everything, analyse everything, choose the optimal path. In practice, however, most decisions unfold amid uncertainty and constraints, and yet remain rational. This dynamic is at the heart of bounded rationality, a foundational idea introduced by Nobel laureate Herbert Simon more than eight decades ago.¹

What is the definition of bounded rationality?

Bounded rationality is a theory within behavioral economics that explains how people make rational decisions despite real-world limitations and imperfections. It was first introduced in 1947 by Herbert A. Simon, an American economist and cognitive scientist who later received the Nobel Prize in Economic Sciences in 1978 for his pioneering research on decision-making within economic organisations.²,³

Within bounded rationality, Simon's work highlights three core limits that shape how decisions are made: limited information, cognitive capacity, and time pressure.⁴

  • First, people rarely have full visibility of all relevant facts, so they act on the information available at that moment.
  • Second, individuals differ in their cognitive ability to process information, which affects how they interpret choices.
  • And third, time pressure often forces people and institutions to decide quickly, even when they cannot fully evaluate every alternative.⁴ 

Why did Herbert Simon develop bounded rationality?

Simon observed that while traditional models often treat people as if they can see every possible choice before deciding, real human behaviour unfolds in far more limited and complex ways.¹ He argued that before building mathematical models, it is crucial to collect data and understand actual behavior,⁵ including how people make decisions with the information and time they truly have.⁴

Fundamentally, Simon's concept of bounded rationality reshaped decision-making by describing it as a practical process where individuals aim for "good enough" solutions instead of perfect ones. This shift helped bridge the gap between theory and reality, and one way he demonstrated this was through his proposal of a decision-making approach called "satisficing."¹,⁵

What is the role of satisficing in decision-making?

Satisficing within bounded rationality describes how individuals often navigate real-world choices: by selecting an option that meets their core requirements rather than holding out for an ideal that may not exist. In uncertain or time-sensitive situations, this approach allows decisions to be made with focus and confidence, ensuring progress even when perfect optimisation isn't realistic.⁶

An investor reviewing opportunities, for instance, will choose the first option that meets a clear set of criteria rather than evaluating the entire market.⁷ Similarly, in hiring for companies, managers set a realistic aspiration level (e.g., 3+ years of experience) and accept the "good enough" candidate they find. This is a rational decision because the cost (i.e., in time, lost productivity, and recruiting fees) of continuing an exhaustive search for the absolute best employee would be economically irrational.⁸

What are real-life examples of bounded rationality?

Building on satisficing, bounded rationality has evolved into a vital framework that continues to shape decision-making across various fields, especially in today’s fast-paced and complex world. Here are some key examples:

Artificial intelligence

Many artificial intelligence (AI) systems operate under data and computational constraints, including autonomous vehicles, robotics, and other real-time technologies. Instead of requiring AI programs to calculate countless possibilities (an approach that would significantly slow decision-making), designers build simplified models that reflect the principles of bounded rationality. These structures allow AI to make timely, efficient decisions within limited resources, resulting in faster responses and improved performance in real-world environments.⁹

Environmental policy

Climate strategies (NDCs) often follow a pragmatic satisficing approach, where governments set targets that are ambitious, implementable, and investable rather than mathematically optimal. This approach is necessary because global climate action is shaped by significant uncertainty and must balance ambitious climate goals (e.g., limiting warming to 1.7 degrees Celsius) with the need to support strong economic growth and development across all regions.¹⁰

Consumer behaviour

Marketers recognise that people rarely evaluate every purchase in a fully analytical way. Instead, consumers often rely on mental shortcuts that help them make quick, efficient decisions. To support this, marketers simplify product information and messaging so it is easier to process. They may use consistent slogans, clear visuals, price anchors, and time-sensitive offers to help consumers compare options and make decisions more confidently. By aligning with how people naturally process information, marketers make it easier for audiences to understand, remember, and choose their products.¹¹

Final thoughts: Finding clarity within our limits

Herbert Simon’s work on bounded rationality reminds us that rational decision-making is not about mastering every detail or chasing an ideal of perfection. Real progress begins when we acknowledge the limits shaping our choices: the information we don’t have, the time we cannot extend, and the complexity we cannot fully map.

By working within these constraints rather than resisting them, our decisions become more grounded, adaptive, and effective. Recognizing what lies within our reach and acting decisively within those boundaries enables individuals, businesses, and societies to move forward. Limits then transform from barriers into guiding frameworks, helping us navigate uncertainty with clarity and purpose.

For broader perspectives on bounded rationality and related topics, explore UBS Nobel Perspectives & Economic Views for conceptual clarity and practical applications informed by the work of Herbert Simon and other Nobel laureates in behavioral economics.

References

  1. Wheeler G.Bounded Rationality. The Stanford Encyclopedia of Philosophy, 2024.
  2. Nobel Prize Outreach.Herbert A. Simon – Biographical. NobelPrize.org, 1978.
  3. Nobel Prize Outreach.Press release. NobelPrize.org, 1978.
  4. Simon HA.A Behavioral Model of Rational Choice. The Quarterly Journal of Economics, 1955.
  5. UBS.Herbert Simon: Do we understand human behavior?. UBS Nobel Perspectives, 2026.
  6. Mintrom M.Herbert A. Simon, Administrative Behavior: A Study of Decision-Making Processes in Administrative Organization. The Oxford Handbook of Classics in Public Policy and Administration, 2015.
  7. Fellner G, Güth W, Maciejovsky B.Satisficing in Financial Decision Making: A Theoretical and Experimental Attempt to Explore Bounded Rationality. Max Planck Institute of Economics, 2005.
  8. Bazerman MH, Moore DA. Judgment in Managerial Decision Making, 7th ed. Wiley, 2008.
  9. Simon HA. The Sciences of the Artificial, 3rd ed. MIT Press, 1996.
  10. OECD/UNDP.Investing in Climate for Growth and Development: The Case for Enhanced NDCs. OECD Publishing, 2025.
  11. Kahneman D.Thinking, Fast and Slow. Farrar, Straus and Giroux, 2013.