Large language models (LLMs) have come closest among all models to date to mastering
human language, yet opinions about their linguistic and cognitive capabilities remain split …

A central challenge for cognitive science is to explain how abstract concepts are acquired
from limited experience. This has often been framed in terms of a dichotomy between …

3D spatial perception is the problem of building and maintaining an actionable and
persistent representation of the environment in real-time using sensor data and prior …

This paper presents a survey of researches in analogical reasoning whose building block
are analogical proportions which are statements of the form “a is to b as c is to d”. They have …

Abstract visual reasoning (AVR) domain encompasses problems solving which requires the
ability to reason about relations among entities present in a given scene. While humans …

Abstract Abstract Visual Reasoning (AVR) problems are commonly used to approximate
human intelligence. They test the ability of applying previously gained knowledge …

The human ability to flexibly reason using analogies with domain-general content depends
on mechanisms for identifying relations between concepts, and for map** concepts and …

Machine learning systems, especially with overparameterized deep neural networks, can
generalize to novel test instances drawn from the same distribution as the training data …

Systematic compositionality, or the ability to adapt to novel situations by creating a mental
model of the world using reusable pieces of knowledge, remains a significant challenge in …

Abstract visual reasoning (AVR) encompasses a suite of tasks whose solving requires the
ability to discover common concepts underlying the set of pictures through an analogy …