Social interactions for autonomous driving: A review and perspectives
No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …
their goals in social traffic scenes. A rational human driver can interact with other road users …
Reinforcement learning, fast and slow
Deep reinforcement learning (RL) methods have driven impressive advances in artificial
intelligence in recent years, exceeding human performance in domains ranging from Atari to …
intelligence in recent years, exceeding human performance in domains ranging from Atari to …
Consciousness in artificial intelligence: insights from the science of consciousness
Whether current or near-term AI systems could be conscious is a topic of scientific interest
and increasing public concern. This report argues for, and exemplifies, a rigorous and …
and increasing public concern. This report argues for, and exemplifies, a rigorous and …
Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resources
F Lieder, TL Griffiths - Behavioral and brain sciences, 2020 - cambridge.org
Modeling human cognition is challenging because there are infinitely many mechanisms
that can generate any given observation. Some researchers address this by constraining the …
that can generate any given observation. Some researchers address this by constraining the …
A taxonomy of technology design features that promote potentially addictive online behaviours
Gaming disorder was officially recognized as a disorder of addictive behaviour in the
International Classification of Diseases 11th revision in 2019. Since then, other types of …
International Classification of Diseases 11th revision in 2019. Since then, other types of …
Striatal circuits for reward learning and decision-making
The striatum is essential for learning which actions lead to reward and for implementing
those actions. Decades of experimental and theoretical work have led to several influential …
those actions. Decades of experimental and theoretical work have led to several influential …
[HTML][HTML] Neuroscience-inspired artificial intelligence
The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history.
In more recent times, however, communication and collaboration between the two fields has …
In more recent times, however, communication and collaboration between the two fields has …
If deep learning is the answer, what is the question?
Neuroscience research is undergoing a minor revolution. Recent advances in machine
learning and artificial intelligence research have opened up new ways of thinking about …
learning and artificial intelligence research have opened up new ways of thinking about …
Prefrontal cortex as a meta-reinforcement learning system
Over the past 20 years, neuroscience research on reward-based learning has converged on
a canonical model, under which the neurotransmitter dopamine 'stamps in'associations …
a canonical model, under which the neurotransmitter dopamine 'stamps in'associations …
Obsessive-compulsive disorder: puzzles and prospects
Obsessive-compulsive disorder is a severe and disabling psychiatric disorder that presents
several challenges for neuroscience. Recent advances in its genetic and developmental …
several challenges for neuroscience. Recent advances in its genetic and developmental …