5 Scopus citations

Abstract

We compare how the same cognitive model completes a task within two alternative modifications to a cognitive architecture to represent sleep deprivation. One modification (ACT-R/F) has a module that uses a biomathematical model of the effects of sleep deprivation on performance to drive parameter changes in the architecture that impact behavior and performance. The second, new, modification (ACT-R/O) represents the effects of sleep deprivation on physiological systems and has these systems modulate cognition. The model completes the psychomotor vigilance task (PVT) within both ACT-R/Φ and ACT-R/F. We found that the two implementations produced similar response times (means) in simulated days one and two. However, the distribution of the response times across the two days of sleep deprivation varied between models. The ACT-R/Φ model shows a wider distribution in both days 1 and 2 due to an increased and modulating production utility noise that affects its ability to select the correct rules consistently. Though they represent sleep deprivation in different ways, and on different levels, both of these implementations lead us towards a more unified understanding of how sleep deprivation affects our bodies, how we think and behave over time, and how to represent these effects.

Original languageEnglish (US)
Title of host publicationProceedings of ICCM 2015 - 13th International Conference on Cognitive Modeling
EditorsNiels A. Taatgen, Marieke K. van Vugt, Jelmer P. Borst, Katja Mehlhorn
PublisherUniversity of Groningen
Pages258-263
Number of pages6
ISBN (Electronic)9789036777636
StatePublished - 2015
Event13th International Conference on Cognitive Modeling, ICCM 2015 - Groningen, Netherlands
Duration: Apr 9 2015Apr 11 2015

Publication series

NameProceedings of ICCM 2015 - 13th International Conference on Cognitive Modeling

Conference

Conference13th International Conference on Cognitive Modeling, ICCM 2015
Country/TerritoryNetherlands
CityGroningen
Period4/9/154/11/15

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Modeling and Simulation

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