The classical economic model of Homo economicus —the perfectly rational agent with infinite processing power and flawless foresight—has long served as a convenient theoretical benchmark. However, as Herbert Simon famously argued, human decision-making is not conducted in a vacuum of perfect information. Instead, we operate under : a framework where cognitive limitations, time constraints, and environmental complexity force us to abandon optimization in favor of "satisficing."
Heuristics are evolutionary adaptations designed for efficiency. In a world overflowing with data, analyzing every possible variable is paralyzing. Instead, we use strategies like the , where we judge the frequency of an event based on how easily examples come to mind. If we can quickly recall a news report about a plane crash, we judge air travel as more dangerous than it statistically is. Bounded Rationality: Heuristics, Judgment, and ...
Similarly, the leads us to judge the probability of an event based on how closely it matches our mental prototype. While these shortcuts often produce "good enough" results for survival, they frequently clash with the cold logic of probability and statistics. Judgment Under Uncertainty The classical economic model of Homo economicus —the
Because we cannot maximize every outcome, Simon proposed that humans —a portmanteau of "satisfy" and "suffice." We set a threshold for what is "acceptable" and choose the first option that meets those criteria. This is the hallmark of bounded rationality: it is a recognition that "optimal" is often the enemy of "actionable." Conclusion In a world overflowing with data, analyzing every