Explainable reinforcement learning (XRL) is an emerging subfield of explainable machine
learning that has attracted considerable attention in recent years. The goal of XRL is to …

Concerns about animal welfare and sustainable meat production are growing among
consumers. The awareness of carbon emissions linked to livestock and ethical concerns …

Accumulated findings from studies in which implicit-bias measures correlate with
discriminatory judgment and behavior have led many social scientists to conclude that …

Over the past few decades, two-factor models of social cognition have emerged as a
dominant framework for understanding impression development. These models suggest that …

A common assumption about implicit measures is that they reflect early experiences,
whereas explicit measures are assumed to reflect recent experiences. This assumption …

Most human cognition occurs outside conscious awareness or conscious control. Some of
these implicit processes influence social perception, judgment and action. The past 15 years …

A central theme in recent research on attitudes is the distinction between deliberate,“explicit”
attitudes and automatic,“implicit” attitudes. The present article provides an integrative review …

Self-report measures arguably represent one of the most important research tools in social
and personality psychology. To measure people's attitudes, beliefs, and personality …

This article presents a meta-analysis of research on evaluative conditioning (EC), defined as
a change in the liking of a stimulus (conditioned stimulus; CS) that results from pairing that …

Dual process theories divide the realm of mental processes into two general categories
depending on whether they operate automatically or in a controlled fashion. This chapter …