Inductive biases for deep learning of higher-level cognition

A Goyal, Y Bengio - Proceedings of the Royal Society A, 2022 - royalsocietypublishing.org
A fascinating hypothesis is that human and animal intelligence could be explained by a few
principles (rather than an encyclopaedic list of heuristics). If that hypothesis was correct, we …

Direct fit to nature: an evolutionary perspective on biological and artificial neural networks

U Hasson, SA Nastase, A Goldstein - Neuron, 2020 - cell.com
Evolution is a blind fitting process by which organisms become adapted to their
environment. Does the brain use similar brute-force fitting processes to learn how to …

Intuitive physics learning in a deep-learning model inspired by developmental psychology

LS Piloto, A Weinstein, P Battaglia… - Nature human …, 2022 - nature.com
Abstract 'Intuitive physics' enables our pragmatic engagement with the physical world and
forms a key component of 'common sense'aspects of thought. Current artificial intelligence …

Nurturing nature: How brain development is inherently social and emotional, and what this means for education

MH Immordino-Yang, L Darling-Hammond… - Educational …, 2019 - Taylor & Francis
New advances in neurobiology are revealing that brain development and the learning it
enables are directly dependent on social-emotional experience. Growing bodies of research …

Interaction networks for learning about objects, relations and physics

P Battaglia, R Pascanu, M Lai… - Advances in neural …, 2016 - proceedings.neurips.cc
Abstract Reasoning about objects, relations, and physics is central to human intelligence,
and a key goal of artificial intelligence. Here we introduce the interaction network, a model …

DreamCoder: growing generalizable, interpretable knowledge with wake–sleep Bayesian program learning

K Ellis, L Wong, M Nye… - … of the Royal …, 2023 - royalsocietypublishing.org
Expert problem-solving is driven by powerful languages for thinking about problems and
their solutions. Acquiring expertise means learning these languages—systems of concepts …

Inferential social learning: Cognitive foundations of human social learning and teaching

H Gweon - Trends in cognitive sciences, 2021 - cell.com
Social learning is often portrayed as a passive process of copying and trusting others. This
view, however, does not fully capture what makes human social learning so powerful: social …

Cognitive foundations of learning from testimony

PL Harris, MA Koenig, KH Corriveau… - Annual Review of …, 2018 - annualreviews.org
Humans acquire much of their knowledge from the testimony of other people. An
understanding of the way that information can be conveyed via gesture and vocalization is …

The perception of relations

A Hafri, C Firestone - Trends in Cognitive Sciences, 2021 - cell.com
The world contains not only objects and features (red apples, glass bowls, wooden tables),
but also relations holding between them (apples contained in bowls, bowls supported by …

Meta-learning in natural and artificial intelligence

JX Wang - Current Opinion in Behavioral Sciences, 2021 - Elsevier
Highlights•Multiple scales of learning (and hence meta-learning) are ubiquitous in
nature.•Many existing lines of work in neuroscience and cognitive science touch upon …