Examining The Stroop Effect using A Develomental Spatial Neuroevolution System
Amit Benbassat, Avishai Henik · 2015
We present a novel approach to the study of cognitive abilities by using evolutionary computation. To this end we use a spatial, developmental, neuroevolution system presented here for the first time. We use our system to evolve ANNs to perform simple abstractions of cognitive tasks such as size perception, counting color identification and reading. We define these tasks to explore hypotheses about the evolution of counting and the the nature of the Stroop effect. Our results show the versatility of our evolutionary system. We show that we can evolve it to perform a variety of cognitive tasks, and also that evolved networks exhibit interference behavior when dealing with multiple tasks and incongruent data.