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Time-Based Resource Sharing in ARCADIA

O'Neill, Kevin; Bridewell, Will; Bello, Paul; (2018) Time-Based Resource Sharing in ARCADIA. In: Proceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018. (pp. pp. 828-833). Cognitive Science Society (CSS): Madison, USA. Green open access

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Abstract

We provide a new computational model of working memory in the complex span task implemented in the ARCADIA cognitive framework. While there exist implementations of working memory successful enough to account for many of the benchmark findings in the working memory literature, we demonstrate that further progress requires the integration of these models with a rich conception of attention. ARCADIA provides this intersection, allowing for precise control of the focus of attention on a time scale fine enough to begin to disentangle the overlapping effects of interference, temporal decay, and attentional refreshing.

Type: Proceedings paper
Title: Time-Based Resource Sharing in ARCADIA
Event: Annual Conference of the Cognitive Science Society, CogSci 2018
Open access status: An open access version is available from UCL Discovery
Publisher version: https://cognitivesciencesociety.org/past-conferenc...
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: working memory; time-based resource sharing; attention; cognitive architecture
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Experimental Psychology
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10197250
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