Evidence accumulation models (EAMs) are a class of computational cognitive model used to
understand the latent cognitive processes that underlie human decisions and response …

Planning ahead has become an essential part of individuals' work and private lives, and
might involve scheduling business meetings, making appointments with a dentist or …

Human performance in complex multiple-task environments depends critically on the
interplay between cognitive control and cognitive capacity. In this paper we propose a …

Many decisions we face daily entail deliberation about how to coordinate resources shared
between multiple, competing goals. When time permits, people appear to approach these …

When asked to think about the function of memory in everyday life, most people intuitively
refer to the capacity to remember things from the past, that is, to retrospectively retrieve …

Prospective memory (PM) tasks require remembering to perform a deferred action and can
be associated with predictable contexts. We present a theory and computational model …

How do (reportable) emotional feelings come to be? Following William James and many
others, Givon et al.(2020) described the generation of feelings as evidence accumulation …

Prospective Memory (PM), the ability to remember to realize intended actions in the future, is
crucial for maintaining autonomy. Decades of research has focused on a so-called age PM …

Event-based prospective memory (PM) tasks require individuals to remember to perform a
previously planned action when they encounter a specific event. Often, the natural …

Despite the ubiquitous nature of evidence accumulation models in cognitive and
experimental psychology, there has been a comparatively limited uptake of such techniques …