The spacing effect is among the most widely replicated empirical phenomena in the learning
sciences, and its relevance to education and training is readily apparent. Yet successful …

The beach festival described in chapter 1 is one of many cultural events with thousands of
attendees organised in the Netherlands. A bird's-eye view of the beach festival site at a …

With humans interacting with AI-based systems at an increasing rate, it is necessary to
ensure the artificial systems are acting in a manner which reflects understanding of the …

To explain latency effects in picture-word interference tasks, cognitive models need to
account for both interference and stimulus onset asynchrony (SOA) effects. As opposed to …

Evaluating variations in the structure of computational models of cognition is as important as
evaluating variations in the numerical parameters of such models. However, computational …

Likelihood functions are an integral component of statistical approaches to parameter
estimation and model evaluation. However, likelihood functions are rarely used in cognitive …

The ACT-R cognitive architecture is a computational framework for developing, simulating
and testing comprehensive theories of cognition. By far, the most common method of …

What are the characteristics of long-term learning? We investigated the characteristics of
long-term, symbolic learning using the Soar and ACT-R cognitive architectures running …

As human beings, we understand and make sense of the social world using social cognition.
Social cognitions are cognitive processes through which we understand, process, and recall …

Effective management of learned knowledge is a challenge when modeling human-level
behavior within complex, temporally extended tasks. This work evaluates one approach to …