[HTML][HTML] Continual lifelong learning with neural networks: A review

GI Parisi, R Kemker, JL Part, C Kanan, S Wermter - Neural networks, 2019 - Elsevier
Humans and animals have the ability to continually acquire, fine-tune, and transfer
knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is …

Lessons from infant learning for unsupervised machine learning

L Zaadnoordijk, TR Besold, R Cusack - Nature Machine Intelligence, 2022 - nature.com
The desire to reduce the dependence on curated, labeled datasets and to leverage the vast
quantities of unlabeled data has triggered renewed interest in unsupervised (or self …

Building machines that learn and think like people

BM Lake, TD Ullman, JB Tenenbaum… - Behavioral and brain …, 2017 - cambridge.org
Recent progress in artificial intelligence has renewed interest in building systems that learn
and think like people. Many advances have come from using deep neural networks trained …

[图书][B] The evolution of the sensitive soul: Learning and the origins of consciousness

S Ginsburg, E Jablonka - 2019 - books.google.com
A new theory about the origins of consciousness that finds learning to be the driving force in
the evolutionary transition to basic consciousness. What marked the evolutionary transition …

Multi-dimensional trust quantification by artificial agents through evidential fuzzy multi-criteria decision making

SW Lee, S Hussain, GF Issa, S Abbas, TM Ghazal… - IEEE …, 2021 - ieeexplore.ieee.org
Increasing man-machine trust has burgeoned during the last few decades. The growing
interest in trust-building has led to the study of the non-dichotomous nature of trust. Trust as …

Autotelic agents with intrinsically motivated goal-conditioned reinforcement learning: a short survey

C Colas, T Karch, O Sigaud, PY Oudeyer - Journal of Artificial Intelligence …, 2022 - jair.org
Building autonomous machines that can explore open-ended environments, discover
possible interactions and build repertoires of skills is a general objective of artificial …

Suboptimality in perceptual decision making

D Rahnev, RN Denison - Behavioral and brain sciences, 2018 - cambridge.org
Human perceptual decisions are often described as optimal. Critics of this view have argued
that claims of optimality are overly flexible and lack explanatory power. Meanwhile …

[HTML][HTML] Social robots on a global stage: establishing a role for culture during human–robot interaction

V Lim, M Rooksby, ES Cross - International Journal of Social Robotics, 2021 - Springer
Robotic agents designed to assist people across a variety of social and service settings are
becoming increasingly prevalent across the world. Here we synthesise two decades of …

[HTML][HTML] A robot is not worth another: Exploring children's mental state attribution to different humanoid robots

F Manzi, G Peretti, C Di Dio, A Cangelosi… - Frontiers in …, 2020 - frontiersin.org
Recent technological developments in robotics has driven the design and production of
different humanoid robots. Several studies have highlighted that the presence of human-like …

Affordances in psychology, neuroscience, and robotics: A survey

L Jamone, E Ugur, A Cangelosi… - … on Cognitive and …, 2016 - ieeexplore.ieee.org
The concept of affordances appeared in psychology during the late 60s as an alternative
perspective on the visual perception of the environment. It was revolutionary in the intuition …