Despite abundant literature theorizing societal implications of algorithmic decision making,
relatively little is known about the conditions that lead to the acceptance or rejection of …

Analysis and interpretation of studies on cognitive and affective dysregulation often draw
upon the network paradigm, especially the Triple Network Model, which consists of the …

We review research that measures time preferences—ie, preferences over intertemporal
trade—offs. We distinguish between studies using financial flows, which we call “money …

The recent surge of interest concerning data analytics in both business and academia has
been accompanied by significant advances in the commercialization of HRM (Human …

The use of artificial intelligence (AI) systems in biomedical and clinical settings can disrupt
the traditional doctor–patient relationship, which is based on trust and transparency in …

" 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 …

Brian Boyd explains why we tell stories and how our minds are shaped to understand them.
After considering art as adaptation, Boyd examines Homer's Odyssey and Dr. Seuss's …

In a complex and uncertain world, humans and animals make decisions under the
constraints of limited knowledge, resources, and time. Yet models of rational decision …

Teams have more talent and experience, more diverse resources, and greater operating
flexibility than individual performers. So why do so many teams either struggle unpleasantly …

Individual-based models are an exciting and widely used new tool for ecology. These
computational models allow scientists to explore the mechanisms through which population …