Abstract
This paper introduces our several preliminary approaches toward understanding temporal soundspace partitioning in bird communities as a self-organizing phenomenon based on behavioral plasticity. First, we describe this phenomenon from our recordings, and show there are asymmetric relationships and the diversity in the temporal avoidance behaviors among the species, using transfer entropy analysis. Then, we consider the evolutionary significance of such a diversity using a computational experiment of the coevolution of the temporal overlap avoidance of singing behaviors among sympatric species with different species-specific song lengths, implying that diversity in the behavioral plasticity in bird communities can contribute to the more efficient establishment of the soundspace partitioning. Finally, we introduce our preliminary works on extracting the temporal dynamics of interaction processes among multiple birds from recordings with a microphone array using an open-source software system for robot audition called HARK.
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Notes
This might be, at least in part, due to the small number of songs of several species in this short recording. Further analyses with long-term recordings will allow us to show more robust results.
In this preliminary analysis with HARK 2.1, we used a simple network with basic parameter settings, and excluded the localized sounds shorter than 1.5 s. We believe that the process will be improved by optimizing the parameters for birdsongs.
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Acknowledgements
The authors thank Charles E. Taylor and Takaya Arita for valuable comments and suggestions, Hiroshi G. Okuno and HARK developer team for supports for localization trials with HARK, and Iain McCowan for supports for the use of Microcone. This work was supported in part by JSPS/MEXT KAKENHI: JP24220006, JP18K11467 and JP17H06383 in #4903 (Evolinguistics).
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Suzuki, R., Cody, M.L. Complex systems approaches to temporal soundspace partitioning in bird communities as a self-organizing phenomenon based on behavioral plasticity. Artif Life Robotics 24, 439–444 (2019). https://doi.org/10.1007/s10015-019-00553-x
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DOI: https://doi.org/10.1007/s10015-019-00553-x