Abstract
Autonomous lifelong development and learning are fundamental capabilities of humans, differentiating them from current deep learning systems. However, other branches of artificial intelligence have designed crucial ingredients towards autonomous learning: curiosity and intrinsic motivation, social learning and natural interaction with peers, and embodiment. These mechanisms guide exploration and autonomous choice of goals, and integrating them with deep learning opens stimulating perspectives.
Keywords No keywords specified (fix it)
Categories (categorize this paper)
DOI 10.1017/s0140525x17000243
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 71,410
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

Philosophy and Machine Learning.Paul Thagard - 1990 - Canadian Journal of Philosophy 20 (2):261-76.
Characteristics of Dissociable Human Learning Systems.David R. Shanks & Mark F. St John - 1994 - Behavioral and Brain Sciences 17 (3):367-447.

Analytics

Added to PP index
2017-11-18

Total views
34 ( #337,445 of 2,519,875 )

Recent downloads (6 months)
1 ( #406,012 of 2,519,875 )

How can I increase my downloads?

Downloads

My notes