Sun & Firestone​[1] argue that the Dark Room Problem poses an important challenge to the
ambitions of predictive processing accounts–specifically, they worry that a standard …

Although affective value is fundamental in explanations of behavior, it is still a somewhat
alien concept in cognitive science. It implies a normativity or directionality that mere …

In this chapter, we describe how the individual's active involvement with works of art
contributes to the experience of them. Based on a review of recent experimental work, we …

Scientists studying decision‐making often provide a set of choices, each specified with
values or distributions of values, and probabilities or distributions of probabilities. For …

Current recommender systems often show the same most-highly recommended items again
and again ignoring the feedback that users neither rate nor click on those items. We conduct …

Real-world information is primarily sensory in nature, and understandably people attach
value to the sensory information to prepare for appropriate behavioral responses. This …

Reinforcement Learning views the maximization of rewards and avoidance of punishments
as central to explaining goal-directed behavior. However, over a life, organisms will need to …

Purpose Online privacy research has seen a focus on user behavior over the last decade,
partly to understand and explain user decision-making and seeming inconsistencies …

The visual system can learn statistical regularities and form search habits that guide
attention to a region where a target frequently appears. Although regularities in the real …

Humans are faced with real-world problems that are often non-stationary (NS)(ie time-
varying) and have long-horizon non-Markovian (NM)(ie history dependent) hierarchical …