Empathy in virtual agents and robots: A survey
This article surveys the area of computational empathy, analysing different ways by which
artificial agents can simulate and trigger empathy in their interactions with humans …
artificial agents can simulate and trigger empathy in their interactions with humans …
Information-seeking, curiosity, and attention: computational and neural mechanisms
Intelligent animals devote much time and energy to exploring and obtaining information, but
the underlying mechanisms are poorly understood. We review recent developments on this …
the underlying mechanisms are poorly understood. We review recent developments on this …
On the measure of intelligence
F Chollet - arxiv preprint arxiv:1911.01547, 2019 - arxiv.org
To make deliberate progress towards more intelligent and more human-like artificial
systems, we need to be following an appropriate feedback signal: we need to be able to …
systems, we need to be following an appropriate feedback signal: we need to be able to …
[ΒΙΒΛΙΟ][B] Surfing uncertainty: Prediction, action, and the embodied mind
A Clark - 2015 - books.google.com
How is it that thoroughly physical material beings such as ourselves can think, dream, feel,
create and understand ideas, theories and concepts? How does mere matter give rise to all …
create and understand ideas, theories and concepts? How does mere matter give rise to all …
The ingredients of real-world robotic reinforcement learning
The success of reinforcement learning for real world robotics has been, in many cases
limited to instrumented laboratory scenarios, often requiring arduous human effort and …
limited to instrumented laboratory scenarios, often requiring arduous human effort and …
Autotelic agents with intrinsically motivated goal-conditioned reinforcement learning: a short survey
Building autonomous machines that can explore open-ended environments, discover
possible interactions and build repertoires of skills is a general objective of artificial …
possible interactions and build repertoires of skills is a general objective of artificial …
[ΒΙΒΛΙΟ][B] Developmental robotics: From babies to robots
A Cangelosi, M Schlesinger - 2015 - books.google.com
A comprehensive overview of an interdisciplinary approach to robotics that takes direct
inspiration from the developmental and learning phenomena observed in children's …
inspiration from the developmental and learning phenomena observed in children's …
Active learning of inverse models with intrinsically motivated goal exploration in robots
We introduce the Self-Adaptive Goal Generation Robust Intelligent Adaptive Curiosity
(SAGG-RIAC) architecture as an intrinsically motivated goal exploration mechanism which …
(SAGG-RIAC) architecture as an intrinsically motivated goal exploration mechanism which …
The challenges ahead for bio-inspired'soft'robotics
The challenges ahead for bio-inspired 'soft' robotics Page 1 76 communications
of the acm | november 2012 | vol. 55 | no. 11 review articles Doi:10.1145/2366316.2366335 …
of the acm | november 2012 | vol. 55 | no. 11 review articles Doi:10.1145/2366316.2366335 …
Language as a cognitive tool to imagine goals in curiosity driven exploration
Developmental machine learning studies how artificial agents can model the way children
learn open-ended repertoires of skills. Such agents need to create and represent goals …
learn open-ended repertoires of skills. Such agents need to create and represent goals …