Bounded rationality is a concept in decision-making theory that recognizes the limitations of human cognitive abilities when individuals are faced with complex choices. Coined by Herbert A. Simon, the term challenges the classical notion of "perfect rationality," which assumes that decision-makers have access to all necessary information, unlimited time, and the ability to process this information logically to arrive at the best possible outcome. In reality, human decision-making is constrained by several factors, including limited information, cognitive limitations of the mind, and time constraints. As a result, individuals tend to settle for a "satisficing" solution — one that is good enough — rather than the optimal one.
Bounded rationality acknowledges that people use heuristics, or mental shortcuts, to make decisions more efficiently, especially under conditions of uncertainty. These heuristics, while useful, can lead to systematic biases and errors in judgment. For example, people may rely heavily on recent experiences, personal beliefs, or easily available data rather than conducting an exhaustive analysis. In organizational and legal contexts, this theory plays a crucial role in understanding why decisions are often made that do not align with ideal economic or rational models. It also explains the behavior of consumers, policymakers, and businesses when they operate under informational or resource constraints.
The significance of bounded rationality lies in its realistic approach to human behavior. It forms the basis for more accurate models in economics, psychology, political science, and law, emphasizing that rationality is not absolute but rather limited by the decision-maker’s environment and capabilities. Recognizing bounded rationality helps in designing better decision-making frameworks, policies, and systems that accommodate these human limitations, leading to more practical and effective outcomes in both individual and institutional settings.