Pisupati S, Niv Y. The challenges of lifelong learning in biological and artificial systems.
Trends Cogn Sci 2022;
26:1051-1053. [PMID:
36335012 PMCID:
PMC9676180 DOI:
10.1016/j.tics.2022.09.022]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 09/28/2022] [Indexed: 11/11/2022]
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.
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