Since its first adoption as a computational model for language learning, evidence has accumulated that Rescorla-Wagner error-correction learning (Rescorla & Wagner, 1972) captures several aspects of language processing. Whereas previous studies have provided general support for the Rescorla-Wagner rule by using it to explain the behavior of…

We examined the impact of images on novel word learning and consolidation, in a conceptual replication of Liu and Van Hell (2020). After participants had learned one set of novel words with definitions and images on Day 1 (remote words) and a different set on Day 2 (recent words), they judged the semantic relatedness of word pairs on Days 2 and 8…

Object representations from convolutional neural network (CNN) models of computer vision (LeCun, Bengio, & Hinton, 2015) were used to drive a cognitive model of decision making, the linear ballistic accumulator (LBA) model (Brown & Heathcote, 2008), to predict errors and response times (RTs) in a novel object recognition task in humans.…

Visual inspection of luggage using X-ray technology at airports is a time-sensitive task that is often supported by automated systems to increase performance and reduce workload. The present study evaluated how time pressure and automation support influence visual search behavior and performance in a simulated luggage screening task. Moreover, we…

Adults conceptualize God as particularly knowledgeable -- more knowledgeable than humans -- about moral transgressions. We investigated how younger (4- to 5-year-old) and older (6- to 7-year-old) children view God's moral knowledge. Cultural narratives in the United States portray God as omniscient, which could lead children growing up in the…

Category learning is fundamental to cognition, but little is known about how it proceeds in real-world environments when learners do not have instructions to search for category-relevant information, do not make overt category decisions, and do not experience direct feedback. Prior research demonstrates that listeners can acquire task-irrelevant…

The proposed revisions to the "Australian Curriculum: Mathematics" highlight the importance of learning to mathematise, problem-solve and reason in real world contexts, including financial contexts. Through the Economics + Maths = Financial Capability research project, the authors have been imagining fresh ideas for connecting the…

The current study aimed to investigate the cultural differences in the developmental origins of children's intent-based moral judgment and moral behavior in the context of indirect reciprocity. To this end, we compared how German and Chinese children interpret and react to antisocial and prosocial interactions between puppets. An actor puppet…

An important question regards how we use environmental boundaries to anchor spatial representations during navigation. Behavioral and neurophysiological models appear to provide conflicting predictions, and this question has been difficult to answer because of technical challenges with testing navigation in novel, large-scale, realistic spatial…

Emotional expressions have been proposed to be important for regulating social interaction as they can serve as cues for behavioral intentions. The issue has been mainly addressed analyzing the effects of facial emotional expressions in cooperation behavior, but there are contradictory results regarding the impact of emotional expressions on that…

Balancing habitual and deliberate forms of choice entails a comparison of their respective merits--the former being faster but inflexible, and the latter slower but more versatile. Here, we show that arbitration between these two forms of control can be derived from first principles within an Active Inference scheme. We illustrate our arguments…

Monitoring refers to online awareness and self-evaluation of one's goal-directed actions, while Control refers to the generation and selection of goal-directed actions (Osman, 2010a). The present study examines the extent to which external estimations of performance influence monitoring and control behaviors. To achieve this, a complex dynamic…

Simulation models provide decision support to long-term planning processes. The Bergen Learning Environment for National Development (BLEND) is a game based on a simplified version of Millennium Institute's Threshold 21 model (T21) that sensitizes policy makers in sub-Saharan African nations to the need for simulation-based decision support. The…

Decision-making involves the ability to choose between competing actions that are associated with uncertain benefits and penalties. The Iowa Gambling Task (IGT), which mimics real-life decision-making, involves learning a reward-punishment rule over multiple trials. Patients with damage to ventromedial prefrontal cortex (VMPFC) show deficits…

Reinforcement learning theories postulate that actions are chosen to maximize a long-term sum of positive outcomes based on value functions, which are subjective estimates of future rewards. In simple reinforcement learning algorithms, value functions are updated only by trial-and-error, whereas they are updated according to the decision-maker's…