Replicating the Stroop Effect Using a Developmental Spatial Neuroevolution System

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• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9921
• 期：1
• 页码：602-612
• 全文大小：286 KB
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• 作者单位：Amit Benbassat (19)
  Avishai Henik (19)
  
  19. Ben-Gurion University of the Negev, Beer-Sheva, Israel
  
• 丛书名：Parallel Problem Solving from Nature ¨C PPSN XIV
• ISBN：978-3-319-45823-6
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9921

文摘

We present an approach to the study of cognitive phenomena by using evolutionary computation. To this end we use a spatial, developmental, neuroevolution system. We use our system to evolve ANNs to perform simple abstractions of the cognitive tasks of color perception and color reading. We define these tasks to explore the nature of the Stroop effect. We show that we can evolve it to perform a variety of cognitive tasks, and also that evolved networks exhibit complex interference behavior when dealing with multiple tasks and incongruent data. We also show that this interference behavior can be manipulated by changing the learning parameters, a method that we successfully use to create a Stroop like interference pattern.