Natural language is often seen as the single factor that explains the cognitive singularity of
the human species. Instead, we propose that humans possess multiple internal languages …

Mental representations remain the central posits of psychology after many decades of
scrutiny. However, there is no consensus about the representational format (s) of biological …

Expert problem-solving is driven by powerful languages for thinking about problems and
their solutions. Acquiring expertise means learning these languages—systems of concepts …

The ability to derive underlying principles from a handful of observations and then
generalize to novel situations--known as inductive reasoning--is central to human …

A core tension in models of concept learning is that the model must carefully balance the
tractability of inference against the expressivity of the hypothesis class. Humans, however …

According to the language-of-thought hypothesis, regular sequences are compressed in
human memory using recursive loops akin to a mental program that predicts future items …

The ability to acquire abstract knowledge is a hallmark of human intelligence and is believed
by many to be one of the core differences between humans and neural network models …

People are adept at learning a wide variety of structured patterns from small amounts of
data, presenting a conundrum from the standpoint of the bias-variance tradeoff: what kinds …

Mathematics is one of the most powerful conceptual systems developed and used by the
human species. Dreams of automated mathematicians have a storied history in artificial …

Successive auditory inputs are rarely independent, their relationships ranging from local
transitions between elements to hierarchical and nested representations. In many situations …