Modeling U Shaped Performance Curves in Ongoing Development

Anthony F. Morse, Tony Belpaeme, Angelo Cangelosi, Caroline Floccia

Research output: Chapter in Book/Report/Conference proceedingConference proceedings published in a bookpeer-review

Abstract

This paper details a simple and general account, and model, of the U-shaped curve phenomena apparent in many developmental psychology experiments. The model replicates both the general form of the U-shape performance in ongoing development and accounts for additional observations in the psychology literature such as the effect of noise in Switch task experiments. This leads to predictions both in psychology and neuroscience, and establishes an alternative hypothesis, which is simpler, more detailed, more predictive, and more general than those already established in the literature. This approach is also suitable for embodied robotic modeling of development.

Original languageEnglish
Title of host publicationExpanding the Space of Cognitive Science - Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, CogSci 2011
EditorsLaura Carlson, Christoph Hoelscher, Thomas F. Shipley
PublisherThe Cognitive Science Society
Pages3034-3039
Number of pages6
ISBN (Electronic)9780976831877
Publication statusPublished - 2011
Event33rd Annual Meeting of the Cognitive Science Society: Expanding the Space of Cognitive Science, CogSci 2011 - Boston, United States
Duration: 20 Jul 201123 Jul 2011

Publication series

NameExpanding the Space of Cognitive Science - Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, CogSci 2011

Conference

Conference33rd Annual Meeting of the Cognitive Science Society: Expanding the Space of Cognitive Science, CogSci 2011
Country/TerritoryUnited States
CityBoston
Period20/07/1123/07/11

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

Keywords

  • Active Hebbian learning
  • Cognitive modeling
  • development
  • epigenetic robotics
  • language acquisition
  • neural networks
  • Self-Organizing Maps
  • U-shaped curve

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