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The Many Modelers approach, combining modelers and non-modelers in teams, shows promise in advancing formal theory development in psychology, as demonstrated by a hackathon that increased psychologists' interest in formal modeling and proved that effective collaboration and prototype creation are possible even with limited time and varying levels of expertise.

Generic neural networks can enhance content models.

Under varying levels of uncertainty, while heuristics provide sufficiently accurate decisions with minimal information, they falter under extreme uncertainty, leading to the adoption of eristic reasoning—self-serving inferences for hedonic pursuits—as a more adaptive approach for instant hedonic gratification and coping, without requiring environmental information.

This Registered Report proposes a study using a modified Delphi approach to develop a transparent and systematic list of considerations for selecting replication targets in psychology, involving community consultation and consensus to enhance the credibility of empirical research.

People search information of the more attractive option even more when they are made aware of the attractiveness of options.

Salience effects on information search do not work indirectly.

Students can contribute to the replication literature.

We provide ratings for a representative set of 2,000 German first names with regard to perceived sex, foreign origin (yes/no), and familiarity. In two studies participants (N = 736 and N = 237) estimated intelligence, education, attractiveness, …

Models can be evaluated before any data has been collected.

Young children are not sensitive to graded probablistic information.