Research Article

Evaluation of Vocal Communication in a Robot Collective

Volume: 8 Number: 3 July 31, 2020
EN TR

Evaluation of Vocal Communication in a Robot Collective

Abstract

In this research, we attempt to design a model in which multiple robots communicate with an artificial proto-language whose symbols are vocally encoded letters of the Morse alphabet. We have shown that, as the robots have limited sensing and acting abilities, the communicated symbols of the proto-language differentiates from their original versions due to copying errors. We check the effects of two distinct environmental factors, namely the positional distance between the robots and the amount of noise in the environment. It is shown that both of these factors affect, in different ways, how accurately the presented proto-language can be accurately transmitted by the robots.

Keywords

Vocal communication, Robot learning, Multi-robot systems

References

  1. [1] C. Hockett, “The origin of speech,” Scientific American, vol. 203, pp. 88-111, 1960.
  2. [2] L. Steels, “The synthetic modeling of language origins,” Evolution of Communication, vol. 1, no. 1 pp. 1-34, 1997.
  3. [3] L. Steels, “Human language is a culturally evolving system,” Psychonomic Bulletin & Review, vol. 24, no. 1, pp. 190-193, 2017.
  4. [4] B. de Boer, “Self-organization in vowel systems,” Journal of Phonetics, vol. 28, no. 4, pp. 441-465, 2000.
  5. [5] W. Zuidema, and B. de Boer, “The evolution of combinatorial phonology,” Journal of Phonetics, vol. 37, no. 2, pp. 125-144, 2009.
  6. [6] B. Galantucci, “An experimental study of the emergence of human communication systems,” Cognitive science, vol. 29, no. 5, pp. 737-767, 2005.
  7. [7] H. Cornish, R. Dale, S. Kirby, and M. H. Christiansen, “Sequence memory constraints give rise to language-like structure through iterated learning,” PloS one, vol. 12, no.1, pp. 1-18, 2017.
  8. [8] B. Chazelle, and C. Wang, “Iterated learning in dynamic social networks,” The Journal of Machine Learning Research, vol. 20, no. 1, pp. 979-1006, 2019.
  9. [9] V. DeCastro-Arrazola, and S. Kirby, “The emergence of verse templates through iterated learning,” Journal of Language Evolution, vol. 4, no. 1, pp. 28-43, 2019.
  10. [10] S. Kirby, T. Griffiths, and K. Smith, “Iterated learning and the evolution of language,” Current Opinion in Neurobiology, vol. 28, pp. 108-114, 2014.
APA
Erbaş, M. D., & Parlak, İ. H. (2020). Evaluation of Vocal Communication in a Robot Collective. Duzce University Journal of Science and Technology, 8(3), 2029-2040. https://doi.org/10.29130/dubited.688255
AMA
1.Erbaş MD, Parlak İH. Evaluation of Vocal Communication in a Robot Collective. DUBİTED. 2020;8(3):2029-2040. doi:10.29130/dubited.688255
Chicago
Erbaş, Mehmet Dinçer, and İsmail Hakkı Parlak. 2020. “Evaluation of Vocal Communication in a Robot Collective”. Duzce University Journal of Science and Technology 8 (3): 2029-40. https://doi.org/10.29130/dubited.688255.
EndNote
Erbaş MD, Parlak İH (July 1, 2020) Evaluation of Vocal Communication in a Robot Collective. Duzce University Journal of Science and Technology 8 3 2029–2040.
IEEE
[1]M. D. Erbaş and İ. H. Parlak, “Evaluation of Vocal Communication in a Robot Collective”, DUBİTED, vol. 8, no. 3, pp. 2029–2040, July 2020, doi: 10.29130/dubited.688255.
ISNAD
Erbaş, Mehmet Dinçer - Parlak, İsmail Hakkı. “Evaluation of Vocal Communication in a Robot Collective”. Duzce University Journal of Science and Technology 8/3 (July 1, 2020): 2029-2040. https://doi.org/10.29130/dubited.688255.
JAMA
1.Erbaş MD, Parlak İH. Evaluation of Vocal Communication in a Robot Collective. DUBİTED. 2020;8:2029–2040.
MLA
Erbaş, Mehmet Dinçer, and İsmail Hakkı Parlak. “Evaluation of Vocal Communication in a Robot Collective”. Duzce University Journal of Science and Technology, vol. 8, no. 3, July 2020, pp. 2029-40, doi:10.29130/dubited.688255.
Vancouver
1.Mehmet Dinçer Erbaş, İsmail Hakkı Parlak. Evaluation of Vocal Communication in a Robot Collective. DUBİTED. 2020 Jul. 1;8(3):2029-40. doi:10.29130/dubited.688255