Self-organizing Acoustic Categories in Sensor Arrays

  • Ivan Escobar
  • Erika Vilches
  • Edgar E. Vallejo
  • Martin L. Cody
  • Charles E. Taylor
Conference paper

DOI: 10.1007/978-3-540-74913-4_116

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4648)
Cite this paper as:
Escobar I., Vilches E., Vallejo E.E., Cody M.L., Taylor C.E. (2007) Self-organizing Acoustic Categories in Sensor Arrays. In: Almeida e Costa F., Rocha L.M., Costa E., Harvey I., Coutinho A. (eds) Advances in Artificial Life. ECAL 2007. Lecture Notes in Computer Science, vol 4648. Springer, Berlin, Heidelberg

Abstract

In this paper, we explore the emergence of acoustic categories in sensor arrays. We describe a series experiments on the automatic categorization of species and individual birds using self-organizing maps. Experimental results showed that meaningful acoustic categories can arise as self-organizing processes in sensor arrays. In addition, we discuss how distributed categorization could be used for the emergence of symbolic communication in these platforms.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Ivan Escobar
    • 1
  • Erika Vilches
    • 1
  • Edgar E. Vallejo
    • 1
  • Martin L. Cody
    • 2
  • Charles E. Taylor
    • 2
  1. 1.ITESM-CEM, Computer Science Dept., Atizapan de Zaragoza, Edo. de Mexico, 52926Mexico
  2. 2.UCLA, Dept. of Ecology and Evolutionary Biology, Los Angeles, CA, 90095USA

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