Understanding Theory of Mind should begin with an analysis of the problems it solves. The
traditional answer is that Theory of Mind is used for predicting others' thoughts and actions …

It is proposed that a cognitive map encoding the relationships between entities in the world
supports flexible behavior, but the majority of the neural evidence for such a system comes …

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

Problems of cooperation--in which agents seek ways to jointly improve their welfare--are
ubiquitous and important. They can be found at scales ranging from our daily routines--such …

" Our thoughts are meaningful. We think about things in the outside world; how can that be
so? This is one of the deepest questions in contemporary philosophy. Ever since …

Neuroscience has focused on the detailed implementation of computation, studying neural
codes, dynamics and circuits. In machine learning, however, artificial neural networks tend …

Recent breakthroughs in artificial intelligence (AI) have enabled machines to plan in tasks
previously thought to be uniquely human. Meanwhile, the planning algorithms implemented …

Reinforcement learning (RL) is a framework of particular importance to psychology,
neuroscience and machine learning. Interactions between these fields, as promoted through …

A hallmark of human intelligence is the ability to plan multiple steps into the future,. Despite
decades of research,–, it is still debated whether skilled decision-makers plan more steps …

To make decisions, animals must evaluate candidate choices by accessing memories of
relevant experiences. Yet little is known about which experiences are considered or ignored …