bounded rationality

Imagine trying to pick the single 'best' restaurant in a big city for dinner tonight. To do it perfectly you would have to know every restaurant, read every menu, compare every price, predict your exact mood, and calculate the optimal trade-off — an impossible amount of work for a Tuesday meal. So you don't. You think of a few places you know, pick one that seems good enough, and go. That sensible shortcut is the heart of bounded rationality: people are rational, but only within real limits of time, information, and brainpower.

Bounded rationality, an idea from Herbert Simon, says that humans aim to make good decisions but are bounded by three things: limited information (we never know everything), limited mental capacity (we can't compute every possibility), and limited time. Instead of optimizing — finding the truly best option — people satisfice, a word Simon coined by blending 'satisfy' and 'suffice': they search until they hit an option that is good enough, then stop. A shopper doesn't compare all 200 cereals; they grab the familiar box that clears their bar. The result is usually reasonable, just not mathematically perfect.

This idea reshapes economics because the standard model assumes full optimization, while bounded rationality says optimization is often too costly even to attempt. It explains why firms use rules of thumb instead of fine-tuned calculus, why people rely on habits and defaults, and why simplifying a choice can change what people pick. The caveat is that 'bounded' does not mean 'irrational' or 'foolish' — given the cost of thinking, satisficing is often the smart move. Bounded rationality is less about human weakness than about the genuine expense of attention and computation.