Journal
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
Volume 24, Issue 1, Pages 1-21Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/0952813X.2010.535706
Keywords
complexity; auto-adaptivity; cognitive simulation; Stroop task; knowledge organisation; emergence
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The Stroop task is a test commonly used in psychology to study interferences that occur in control when two cognitive processes are in competition, and where a non-habitual response, needed to reach a defined goal, competes with the habitual response. Many computer simulations already exist for this task, mostly in neural networks. This article presents a new simulation approach, the first attempt to simulate the Stroop task using the properties of complexity and auto-adaptivity in a massive multi-agent system. Our approach allows us to simulate the time effects of cognitive impairment on the task, the adaptive cognitive behaviours involved, and is a first step for the simulation of cognitive disorders.
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