In the context of urbanization and a growing population, cities and citizens are becoming
more exposed and vulnerable to social and environmental changes, ranging from natural …

While the interpretability of machine learning models is often equated with their mere
syntactic comprehensibility, we think that interpretability goes beyond that, and that human …

" More information is always better, and full information is best. More computation is always
better, and optimization is best." More-is-better ideals such as these have long shaped our …

In situations of uncertainty, people often make decisions with heuristic shortcuts or decision
rules, rather than using computational or logical methods such as optimizing their behavior …

Hypotheses about decision processes are often formulated qualitatively and remain silent
about the interplay of decision, memorial, and other cognitive processes. At the same time …

When searching for and buying new products, consumers' knowledge is often limited, and
some (but not all) options in the choice set are unrecognized. In such situations, research on …

Purpose The aim of this paper is to systematically review the literature published in
recognized journals focused on recognition-based heuristics and their effect on investment …

Many important findings and discoveries in science and everyday life are the result of
serendipity, that is, the unanticipated occurrence of happy events such as the finding of …

Judgement and decision-making under uncertainty often rely on simplistic” rules of thumb”,
known as “heuristics”. The purpose of this sco** review is to explore the extant literature …

An ongoing discussion in the recognition-memory literature concerns the question of
whether recognition judgments reflect a direct map** of graded memory representations …