A central component of rational behavior is logical inference: the process of determining
which conclusions follow from a set of premises. Psychologists have documented several …

Syllogistic reasoning lies at the intriguing intersection of natural and formal reasoning of
language and logic. Syllogisms comprise a formal system of reasoning yet make use of …

Abstract Model evaluation is commonly performed by relying on aggregated data as well as
relative metrics for model comparison and selection. In light of recent criticism about the …

The prevailing focus on aggregated data and the lacking groupto-individual generalizability
it entails have recently been identified as a major cause for the low performance of cognitive …

Syllogistic reasoning, that is the drawing of inferences for categorical‐quantified assertions,
is one of the oldest branches of deductive reasoning research with a history exceeding 100 …

How individuals reason deductively has concerned researchers for many years. Yet, it is still
unclear whether, and if so how, participants' reasoning performance changes over time. In …

For decades, a significant number of models explaining human syllogistic inference
processes were developed. There is profound work fitting the models' parameters and …

Monitoring our errors enables humans to adapt behavior when actions fail to result in
desired outcomes. Post-error adaptations have been studied extensively using simple …

The reasoning abilities of Large Language Models (LLMs) are becoming a central focus of
study in NLP. In this paper, we consider the case of syllogistic reasoning, an area of …

Recently, the TransSet model for human syllogistic reasoning was introduced and shown to
outperform the previous state of the art in terms of predictive performance. In this article, we …