What do we want from machine intelligence? We envision machines that are not just tools
for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and …

Understanding information processing in the brain—and creating general-purpose artificial
intelligence—are long-standing aspirations of scientists and engineers worldwide. The …

The impressive performance of recent language models across a wide range of tasks
suggests that they possess a degree of abstract reasoning skills. Are these skills general …

For over 200 years, philosophers and mathematicians have be en using probability theory to
describe human cognition. While the theory of prob abilities was first developed as a means …

Denoising diffusion probabilistic models (DDPM) are powerful hierarchical latent variable
models with remarkable sample generation quality and training stability. These properties …

In this article, we argue that a predictive processing framework (PP) may provide elements
for a proximate model of play in children and adults. We propose that play is a behavior in …

To successfully navigate their social world, humans need to understand and map enduring
relationships between people: Humans need a concept of social affiliation. Here I propose …

Success in life is linked to executive functions, a collection of cognitive processes that
support goal-directed behaviors. Executive functions is an umbrella term related to cognitive …

Generics are statements such as “tigers are striped”,“a duck lays eggs”,“the dodo is extinct”,
and “ticks carry Lyme disease”. Generics express generalizations, but unlike quantified …

Humans have internal models of robots (like their physical capabilities), the world (like what
will happen next), and their tasks (like a preferred goal). However, human internal models …