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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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. https://doi.org/10.1007/978-3-540-74913-4_116
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DOI: https://doi.org/10.1007/978-3-540-74913-4_116
Publisher Name: Springer, Berlin, Heidelberg
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