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Bounded rationality describes cognitive and informational limits on human decision-making that prevent optimal choices. It explains how satisficing, heuristics, and simplified models shape decisions in organizations and product design. The concept helps to create realistic decision frameworks and practical prioritization rules.
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Bounded rationality describes decisions made with incomplete knowledge, limited time, and limited processing capacity. People therefore often seek a good-enough, manageable solution rather than a theoretical optimum.
Herbert A. Simon developed the approach through his research on decision-making in organizations and formalized it from the 1950s onward. It challenged the economic ideal of a fully informed decision-maker able to calculate every alternative and consequence.
Imagine a person with a flashlight in a large dark room full of options. They can see only one area at a time, search sequentially, and stop when an option meets their aspiration level. New information may change both the visible area and that aspiration level, but an all-knowing overall calculation is never available.
Knowledge, time, and cognitive capacity constrain which alternatives can actually be considered.
Options are discovered and assessed sequentially instead of being available as a complete set.
Search stops at an acceptable option that reaches a chosen aspiration level.
Simplifying rules reduce decision effort but can introduce systematic bias.
The concept supports product decisions, prioritization, governance, and organization design by exposing realistic decision conditions. Good processes improve information, comparability, and opportunities to revise a choice while still accepting uncertainty.
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