Abstract
How do biological systems learn continuously throughout their lifespans, adapting to change while retaining old knowledge, and how can these principles be applied to artificial learning systems? In this Forum article we outline challenges and strategies of ‘lifelong learning’ in biological and artificial systems, and argue that a collaborative study of each system's failure modes can benefit both.
Original language | English (US) |
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Pages (from-to) | 1051-1053 |
Number of pages | 3 |
Journal | Trends in Cognitive Sciences |
Volume | 26 |
Issue number | 12 |
DOIs | |
State | Published - Dec 2022 |
All Science Journal Classification (ASJC) codes
- Neuropsychology and Physiological Psychology
- Experimental and Cognitive Psychology
- Cognitive Neuroscience
Keywords
- Bayesian inference
- continual learning
- forgetting
- inductive biases
- lifelong learning
- reinforcement learning