Laura C. Klein’s scientific contributions

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Publications (1)


Figure 1: A high-level representation of ACT-R and its modules. 
Figure 2: A High-level schematic of ACT-R/Φ (top) and the physio module and its buffers (bottom). Thicker solid lines in the top figure represent current direct connections between the physiological module and cognitive modules.
Figure 3: A schematic of the interctions in the ACT- R/Φ process model built to use the ACT- R/Φ physio module. Peripheral physiology affects memory noise whether or not the model processes the sound cognitively. The boxes in the left half of the figure that have a double border represent the process of the original ACT-R 6.0 model. 
Figure 4: The solid line (mean) and dotted line (median) represents epinephrine levels of models (n=200) while the area around the solid line represents the standard deviation for EQ1 (Top) and EQ2 (Bottom) models. The red dashed line represents the point at which the startle was presented in each block.
Figure 7: The effect of declarative memory noise for the ACT-R-All model on performance (% correct) on the serial subtraction task. Each time the ACT-R/Φ models in Figure 6 (Eq1 and Eq2) were run, we recorded the :ans values used over each ¼ second 9 of the task; this gave us two sets of 3,955 :ans values;
Using a cognitive architecture with a physiological substrate to represent effects of a psychological stressor on cognition
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September 2014

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613 Reads

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35 Citations

Computational and Mathematical Organization Theory

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Frank E. Ritter

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Keith A. Berry

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Laura C. Klein

Adding a physiological representation to a cognitive architecture offers an attractive approach to modeling the effects of stress on cognition. We introduce ACT-R/Φ, an extended version of the ACT-R cognitive architecture that includes an integrative model of physiology. The extension allows the representation of how physiology and cognition interact. This substrate was used to represent potential effects of a startle response and task-based stress during a mental arithmetic (subtraction) task. We compare predictions from two models loaded into the new hybrid architecture to models previously developed within ACT-R. General behavior differed between models in that the ACT-R/Φ models had dynamic declarative memory noise over the course of the task based on varying epinephrine levels. They attempted more subtractions but were less accurate; this more closely matched human performance than the previous ACT-R models. Using ACT-R/Φ allows a more tractable integration of current physiological and cognitive perspectives on stress. ACT-R/Φ also permits further exploration of the interaction between cognition and physiology, and the emergent effects on behavior caused by the interaction among physiological subsystems. This extension is useful for anyone exploring how the human mind can occur in and be influenced by the physical universe.

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Citations (1)


... Concerning the logic behind these mechanisms, Ritter [29] defined emotion as physiological substrates affecting cognitive parameters. This idea has been instantiated in ACT-R/Φ [9], which combines cognitive processes in ACT-R with physiological mechanisms. Although this ACT-R extension successfully demonstrates the complex dynamics that emerge from interactions between physiology and cognitive components, it does not explain how those relations change over time. ...

Reference:

Modeling Task Immersion based on Goal Activation Mechanism
Using a cognitive architecture with a physiological substrate to represent effects of a psychological stressor on cognition

Computational and Mathematical Organization Theory