To understand the dysfunctional mechanisms underlying maladaptive reasoning of
psychosis, computational models of decision making have widely been applied over the …

Identifying cognitive capacities underlying the human evolutionary transition is challenging,
and many hypotheses exist for what makes humans capable of, for example, producing and …

We examined how language supports the expression of temporality within sentence
boundaries in English, which has a rich inventory of grammatical means to express …

We explore how general principles of learning apply to and combine with usage‐based
approaches to language learning and teaching, with a focus on the effects of order of …

This article explores the contribution of the double error dynamic asymptote computational
associative learning model to understanding the role of mediated learning mechanisms in …

The general process-and adaptive specialization hypotheses represent two contrasting
explanations for understanding intelligence in non-human animals. The general process …

In this paper, we propose a framework to extract the algebra of the transformations of worlds
from the perspective of an agent. As a starting point, we use our framework to reproduce the …

This article briefly reviews 3 theories concerning elemental and configural approaches to
stimulus representation in associative learning and presents a new context-dependent …

This dissertation is concerned with computational mechanisms of belief updating and
neuromelanin as dopamine proxy in psychosis. The formation of psychotic experiences may …

It is generally assumed that the Rescorla and Wagner (1972) model adequately
accommodates the full results of simple cue competition experiments in humans (eg …