The ability to predict upcoming events is essential in infancy because it enables babies to process information optimally and have successful goal-directed interactions with their environment. In this article, we examine how infants generate predictions in perception, cognition, and action, and address whether and how their predictions are…

When a situation could lead to multiple mutually exclusive consequences, recent research shows that people automatically generate multiple predictive inferences in memory. Several theoretical mechanisms have been proposed to account for the generation of predictive inferences. One hypothesis is that inferences are minimally encoded, represented…

The ability to infer intentions from observed behavior and predict actions based on this inference, known as intention attribution (IA), has been hypothesized to be impaired in individuals with autism spectrum disorder (ASD). The underlying neural processes, however, have not been conclusively determined. The aim of this study was to examine the…

From about 7 months of age onward, infants start to reliably fixate the goal of an observed action, such as a grasp, before the action is complete. The available research has identified a variety of factors that influence such goal-anticipatory gaze shifts, including the experience with the shown action events and familiarity with the observed…

Judgments of learning (JOLs) refer to explicit predictions regarding the likelihood of remembering newly acquired information on a later test of memory. In recent years, there has been considerable interest in understanding the processes that underlie such judgments. Recent theorizing on this matter has characterized JOLs as inferential in…

The generation of predictive inferences may be difficult when a story leads to multiple possible consequences. The present study examined whether inferences are generated when the story implies two mutually exclusive consequences are nearly equally likely to occur. Experiment 1 used a word-naming task and showed that neither inference was…

Theory of mind is the understanding that other people have mental states that drive their actions and that those mental states can be different from one's own. Without understanding theory of mind and being able to take others' perspectives, it could be difficult for children to read and understand narrative texts. This paper posits that…

Theory of mind is the understanding that other people have mental states that drive their actions and that those mental states can be different from one's own. Without understanding theory of mind and being able to take others' perspectives, it could be difficult for children to read and understand narrative texts. This paper posits that…

As deviations from what is expected, anomalies are typically seen as an obstruction to making good predictions or an impulse to revise the predictive framework. Here, we consider a different possibility--that anomalies, particularly those related to cognitive processing, may be a valuable source of diagnostic information. More specifically, we…

The Iowa Gambling Task (IGT) is widely used to study decision-making within healthy and psychiatric populations. However, the complexity of the IGT makes it difficult to attribute variation in performance to specific cognitive processes. Several cognitive models have been proposed for the IGT in an effort to address this problem, but currently no…

Some researchers on binary choice inference have argued that people make inferences based on simple heuristics, such as recognition, fluency, or familiarity. Others have argued that people make inferences based on available knowledge. To examine the boundary between heuristic and knowledge usage, we examine binary choice inference processes in…

Choosing specific implementational details is one of the most important aspects of creating and evaluating a model. In order to properly model cognitive processes, choices for these details must be made based on empirical research. Unfortunately, modelers are often forced to make decisions in the absence of relevant data. My work investigates the…

Much of our real-life decision making is bounded by uncertain information, limitations in cognitive resources, and a lack of time to allocate to the decision process. It is thought that humans overcome these limitations through "satisficing," fast but "good-enough" heuristic decision making that prioritizes some sources of…

We developed a method for using Coh-Metrix to automatically analyze tutorial dialogues. Coh-Metrix, a web-based tool for automatically evaluating text, is freely available to researchers. We applied the method to 190 tutorial dialogues between women and "BRCA Gist" from two experiments. "BRCA Gist" is an intelligent tutoring…

We investigated whether 12-month-old infants rely on information about the certainty of goal selection in order to predict observed reaching actions. Infants' goal-directed gaze shifts were recorded as they observed action sequences in a multiple-goals design. We found that 12-month-old infants exhibited gaze shifts significantly earlier when…