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 …

The classical notion of a 'language of thought'(LoT), advanced prominently by the
philosopher Jerry Fodor, is an influential position in cognitive science whereby the mental …

Though modern neural networks have achieved impressive performance in both vision and
language tasks, we know little about the functions that they implement. One possibility is that …

Deep learning has enabled major advances across most areas of artificial intelligence
research. This remarkable progress extends beyond mere engineering achievements and …

The language of thought hypothesis (LOTH) proposes that thinking occurs in a mental
language. Often called Mentalese, the mental language resembles spoken language in …

Quilty-Dunn et al.'s wide-ranging defense of the Language of Thought Hypothesis (LoTH)
argues that vision traffics in abstract, structured representational formats. We agree: Vision …

The success of models of human behavior based on Bayesian inference over logical
formulas or programs is taken as evidence that people employ a “language-of-thought” that …

There are two versions of the language of thought hypothesis (LOT): representational LOT
(roughly, structured representation), introduced by Ockham, and computational LOT …

The Language of Thought (LoT) hypothesis proposes that some collections of mental states
and processes are symbol systems to explain language-like systematic properties of …

More than 50 years ago, Bongard introduced 100 visual concept learning problems as a
challenge for artificial vision systems. These problems are now known as Bongard …