From focused thought to reveries: A memory system for a conscious robot

Balkenius, C; Tjøstheim, TA; Johansson, B; Gärdenfors, P

From focused thought to reveries: A memory system for a conscious robot

Balkenius, C Tjøstheim, TA Johansson, B Gärdenfors, P

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Publication Type:: Journal Article
Citation:: Frontiers Robotics AI, 2018, 5 (APR)
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Balkenius, C	en_US
dc.contributor.author	Tjøstheim, TA	en_US
dc.contributor.author	Johansson, B	en_US
dc.contributor.author	Gärdenfors, P	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	Frontiers Robotics AI, 2018, 5 (APR)	en_US
dc.identifier.uri	http://hdl.handle.net/10453/134486
dc.description.abstract	© 2018 Balkenius, Tjøstheim, Johansson and Gärdenfors. We introduce a memory model for robots that can account for many aspects of an inner world, ranging from object permanence, episodic memory, and planning to imagination and reveries. It is modeled after neurophysiological data and includes parts of the cerebral cortex together with models of arousal systems that are relevant for consciousness. The three central components are an identification network, a localization network, and a working memory network. Attention serves as the interface between the inner and the external world. It directs the flow of information from sensory organs to memory, as well as controlling top-down influences on perception. It also compares external sensations to internal top-down expectations. The model is tested in a number of computer simulations that illustrate how it can operate as a component in various cognitive tasks including perception, the A-not-B test, delayed matching to sample, episodic recall, and vicarious trial and error.	en_US
dc.relation.ispartof	Frontiers Robotics AI	en_US
dc.relation.isbasedon	10.3389/frobt.2018.00029	en_US
dc.title	From focused thought to reveries: A memory system for a conscious robot	en_US
dc.type	Journal Article
utslib.citation.volume	APR	en_US
utslib.citation.volume	5	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	1702 Cognitive Sciences	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
utslib.copyright.status	open_access
pubs.issue	APR	en_US
pubs.publication-status	Published	en_US
pubs.volume	5	en_US

Abstract:

© 2018 Balkenius, Tjøstheim, Johansson and Gärdenfors. We introduce a memory model for robots that can account for many aspects of an inner world, ranging from object permanence, episodic memory, and planning to imagination and reveries. It is modeled after neurophysiological data and includes parts of the cerebral cortex together with models of arousal systems that are relevant for consciousness. The three central components are an identification network, a localization network, and a working memory network. Attention serves as the interface between the inner and the external world. It directs the flow of information from sensory organs to memory, as well as controlling top-down influences on perception. It also compares external sensations to internal top-down expectations. The model is tested in a number of computer simulations that illustrate how it can operate as a component in various cognitive tasks including perception, the A-not-B test, delayed matching to sample, episodic recall, and vicarious trial and error.

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http://hdl.handle.net/10453/134486