An important problem in descriptive and prescriptive research in decision making is to identify “regions of rationality,” i.e., the areas for which heuristics are and are not effective. To map the contours of such regions, we derive probabilities that heuristics identify the best of m...

An important problem in descriptive and prescriptive research in decision making is to identify "regions of rationality," i.e., the areas for which simple, heuristic models are and are not effective. To map the contours of such regions, we derive probabilities that models identify the best of m...

An important problem faced by boundedly rational agents is to identify 'regions of rationality,' i.e., the areas for which simple, boundedly rational models are and are not effective. To map the contours of such regions, we derive probabilities that models identify the best of m alternatives (m ...

We propose a rule of decision-making, the sequential procedure guided by routes, and show that three influential boundedly rational choice models can be equivalently understood as special cases of this rule. In addition, the sequential procedure guided by routes is instrumental in showing that...