@inproceedings{146e5b9eae5f4e96aaab9e79b5835725,
title = "Nearing stroop effect replication via neuroevolution",
abstract = "We present the next step in our study of cognitive abilities by using evolutionary computation. To this end we use a spatial, developmental, neuroevolution system. We use our existing system to evolve ANNs to perform simple abstractions of the cognitive tasks color identification and reading. We define these tasks to explore hypotheses about the the Stroop effect. Our results show the versatility of our evolutionary system. We successfully replicate many of the qualities of the Stroop effect.",
keywords = "Cognitive simulation, Developmental EA, Evolutionary algorithm, Neuroevolution",
author = "Amit Benbassat and Avishai Henik",
note = "Publisher Copyright: {\textcopyright} 2016 Copyright held by the owner/author(s).; 2016 Genetic and Evolutionary Computation Conference, GECCO 2016 Companion ; Conference date: 20-07-2016 Through 24-07-2016",
year = "2016",
month = jul,
day = "20",
doi = "10.1145/2908961.2931639",
language = "English",
series = "GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference",
publisher = "Association for Computing Machinery, Inc",
pages = "1457--1458",
editor = "Tobias Friedrich",
booktitle = "GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference",
}