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  1.  32
    The discovery of processing stages: Extension of Sternberg’s method.John R. Anderson, Qiong Zhang, Jelmer P. Borst & Matthew M. Walsh - 2016 - Psychological Review 123 (5):481-509.
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  2.  31
    Strategies for memory-based decision making: Modeling behavioral and neural signatures within a cognitive architecture.Hanna B. Fechner, Thorsten Pachur, Lael J. Schooler, Katja Mehlhorn, Ceren Battal, Kirsten G. Volz & Jelmer P. Borst - 2016 - Cognition 157 (C):77-99.
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  3. Modeling Triple-Tasking without Customized Cognitive Control.Jelmer P. Borst, Niels A. Taatgen & Hedderik Van Rijn - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
  4.  21
    Capturing Dynamic Performance in a Cognitive Model: Estimating ACT‐R Memory Parameters With the Linear Ballistic Accumulator.Maarten Velde, Florian Sense, Jelmer P. Borst, Leendert Maanen & Hedderik Rijn - 2022 - Topics in Cognitive Science 14 (4):889-903.
    The parameters governing our behavior are in constant flux, and capturing these dynamics in cognitive models remains a challenge. We demonstrate how a mapping between ACT‐R's model of declarative memory and the linear ballistic accumulator enables efficient estimation of memory parameters from data. The resulting estimates provide a cognitively meaningful explanation for observed differences in behavior over time and between individuals.
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  5.  54
    Cognitive Modeling at ICCM: State of the Art and Future Directions.Niels A. Taatgen, Marieke K. Vugt, Jelmer P. Borst & Katja Mehlhorn - 2016 - Topics in Cognitive Science 8 (1):259-263.
    The goal of cognitive modeling is to build faithful simulations of human cognition. One of the challenges is that multiple models can often explain the same phenomena. Another challenge is that models are often very hard to understand, explore, and reuse by others. We discuss some of the solutions that were discussed during the 2015 International Conference on Cognitive Modeling.
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    Cognitive Modeling at ICCM : State of the Art and Future Directions.Niels A. Taatgen, Marieke K. van Vugt, Jelmer P. Borst & Katja Mehlhorn - 2016 - Topics in Cognitive Science 8 (1):259-263.
    The goal of cognitive modeling is to build faithful simulations of human cognition. One of the challenges is that multiple models can often explain the same phenomena. Another challenge is that models are often very hard to understand, explore, and reuse by others. We discuss some of the solutions that were discussed during the 2015 International Conference on Cognitive Modeling.
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  7.  18
    Capturing Dynamic Performance in a Cognitive Model: Estimating ACT‐R Memory Parameters With the Linear Ballistic Accumulator.Maarten van der Velde, Florian Sense, Jelmer P. Borst, Leendert van Maanen & Hedderik van Rijn - 2022 - Topics in Cognitive Science 14 (4):889-903.
    The parameters governing our behavior are in constant flux. Accurately capturing these dynamics in cognitive models poses a challenge to modelers. Here, we demonstrate a mapping of ACT-R's declarative memory onto the linear ballistic accumulator (LBA), a mathematical model describing a competition between evidence accumulation processes. We show that this mapping provides a method for inferring individual ACT-R parameters without requiring the modeler to build and fit an entire ACT-R model. Existing parameter estimation methods for the LBA can be used, (...)
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