resources, even if it leads to suboptimal choices. When applied to financial markets, the recognition heuristic predicts that … recognized stocks in Europe. Findings – The authors conclude that a recognition heuristic portfolio yields poorer returns than a … understanding the performance of recognition heuristic strategies over a comprehensive time horizon, and it would be interesting to …

resources, even if it leads to suboptimal choices. When applied to financial markets, the recognition heuristic predicts that … recognized stocks in Europe. Findings: The authors conclude that a recognition heuristic portfolio yields poorer returns than a … understanding the performance of recognition heuristic strategies over a comprehensive time horizon, and it would be interesting to …

cities make more accurate decisions by applying the recognition heuristic, when compared to the accuracy achieved by people …

One prominent model in the realm of memory-based judgments and decisions is the recognition heuristic. Under certain …

Previous research on the role of recognition in decision-making in inferential choice has focussed on the Recognition … Heuristic (RH), which proposes that in situations where recognition is predictive of a decision criterion, recognized objects …

Gigerenzer (1999, 2002), known as the recognition heuristic: when choosing between two objects, of which only one is recognized …

I describe and discuss the sometimes heated controversy surrounding the recognition heuristic (RH) as a model of …

learned. Specifically, we discuss (i) why studying the recognition heuristic has led to so much controversy, making it … cue knowledge about unrecognized objects could enter the decision process, (iv) why recognition heuristic theory should be … difficult to settle on mutually accepted empirically grounded assumptions, (ii) whether the development of the recognition …

behavior, and in what situations. In three issues of this journal, the recognition heuristic has been examined carefully from …