System structure and cognitive ability as predictors of performance in dynamic system control tasks

Journal of Dynamic Decision Making 1 (1) (2015)
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Abstract

In dynamic system control, cognitive mechanisms and abilities underlying performance may vary depending on the nature of the task. We therefore investigated the effects of system structure and its interaction with cognitive abilities on system control performance. A sample of 127 university students completed a series of different system control tasks that were manipulated in terms of system size and recurrent feedback, either with or without a cognitive load manipulation. Cognitive abilities assessed included reasoning ability, working memory capacity, and cognitive reflection. System size and recurrent feedback affected overall performance as expected. Overall, the results support that cognitive ability is a good predictor of performance in dynamic system control tasks but predictiveness is reduced when the system structure contains recurrent feedback. We discuss this finding from a cognitive processing perspective as well as its implications for individual differences research in dynamic systems.

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References found in this work

Implicit learning and tacit knowledge.Arthur S. Reber - 1989 - Journal of Experimental Psychology: General 118 (3):219-235.
Implicit learning of artificial grammars.Arthur S. Reber - 1967 - Journal of Verbal Learning and Verbal Behavior 6:855-863.
Implicit learning and tacit knowledge.Arthur S. Reber - 1989 - Journal of Experimental Psychology 118:219-35.

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