Computational ideas pervade many areas of science and have an integrative explanatory
role in neuroscience and cognitive science. However, computational depictions of cognitive …

Viewing the brain as an organ of approximate Bayesian inference can help us understand
how it represents the self. We suggest that inferred representations of the self have a …

Plan recognition, activity recognition, and intent recognition together combine and unify
techniques from user modeling, machine vision, intelligent user interfaces, human/computer …

Recent work in social cognition has moved beyond a focus on how people process social
rewards to examine how healthy people represent other agents and how this is altered in …

In complex situations involving communication, agents might attempt to mask their
intentions, exploiting Shannon's theory of information as a theory of misinformation. Here …

The pervasiveness of decision-making in every area of human endeavor highlights the
importance of understanding choice mechanisms and their detailed relationship to …

Mathematically rigorous descriptions of key hypotheses and theories are becoming more
common in neuroscience and are beginning to be applied to psychiatry. In this article two …

Most of our waking time as human beings is spent interacting with other individuals. In order
to make good decisions in this social milieu, it is often necessary to make inferences about …

Agents need to be on their toes when interacting with competitive others to avoid being
duped. Too much vigilance out of context can, however, be detrimental and produce …

The weight with which a specific outcome feature contributes to preference quantifies a
person's 'taste'for that feature. However, far from being fixed personality characteristics …