Language development among co-learning agents

Viktor Gyenes, András Lórincz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We investigate the properties of coupled systems during the emergence of communication. Colearning systems are more complex than individual learning systems because of being dependent on the learning process of each other, thus risking divergence. We developed a neural network approach and implemented a concept that we call reconstruction principle, which we found adequate for overcoming the instability problem. Experimental simulations were performed to test the emergence of both compositional and holistic communication. The results show that compositional communication is favorable when learning performance is considered, however it is more error-prone to differences in the conceptual representations of the individual systems. We show that our architecture enables the adjustment of the differences in the individual conceptual representations in case of compositional communication.

Original languageEnglish
Title of host publication2007 IEEE 6th International Conference on Development and Learning, ICDL
Pages294-299
Number of pages6
DOIs
Publication statusPublished - Dec 1 2007
Event2007 IEEE 6th International Conference on Development and Learning, ICDL - London, United Kingdom
Duration: Jul 11 2007Jul 13 2007

Publication series

Name2007 IEEE 6th International Conference on Development and Learning, ICDL

Other

Other2007 IEEE 6th International Conference on Development and Learning, ICDL
CountryUnited Kingdom
CityLondon
Period7/11/077/13/07

Keywords

  • Co-learning
  • Compositional communication
  • Language emergence
  • Reconstruction network

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications

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    Gyenes, V., & Lórincz, A. (2007). Language development among co-learning agents. In 2007 IEEE 6th International Conference on Development and Learning, ICDL (pp. 294-299). [4354041] (2007 IEEE 6th International Conference on Development and Learning, ICDL). https://doi.org/10.1109/DEVLRN.2007.4354041