Neuroscientists often describe neural activity as a representation of something, or claim to
have found evidence for a neural representation, but there is considerable ambiguity about …

Cognitive biases, such as the anchoring bias, pose a serious challenge to rational accounts
of human cognition. We investigate whether rational theories can meet this challenge by …

The recent advent of large language models has reinvigorated debate over whether human
cognitive capacities might emerge in such generic models given sufficient training data. Of …

The construct of active learning permeates undergraduate education in science, technology,
engineering, and mathematics (STEM), but despite its prevalence, the construct means …

Purpose This study aims to understand the importance and challenges of adopting artificial
intelligence (AI) in the banking industry in Malaysia and examine the factors that are …

Modeling human cognition is challenging because there are infinitely many mechanisms
that can generate any given observation. Some researchers address this by constraining the …

Rapid advances in the field of artificial intelligence have profound implications for the
economy as well as society at large. These innovations have the potential to directly …

This article presents seven principles that have guided our thinking about emotional
intelligence, some of them new. We have reformulated our original ability model here guided …

This textbook presents a concise, accessible and engaging first introduction to deep
learning, offering a wide range of connectionist models which represent the current state-of …

In this paper, I argue that the fields of artificial intelligence (AI) and education have been
deeply intertwined since the early days of AI. Specifically, I show that many of the early …