Adapting to a changing environment: Simulating the effects of noise on animal sonification

David Kadish, Sebastian Risi

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review


Adaptation is an important capability in a fast-changing world. What factors allow an animal population to adapt to external changes in their environments? What effects do those changes have on the animal populations that do adapt? This paper explores these questions in the context of intraspecies communication in a noisy soundscape. Using a simulated soundscape and populations generated using Neuroevolution of Augmenting Topologies (NEAT), the same scenario is played through many times to understand the range of possible outcomes given an initial population and a set of noise conditions. While noise is found to have minimal effect on the best possible scenario, it affects how often that scenario is reached. The onset of noise is also found to impact the complexity of the evolved neural networks.
Original languageEnglish
Title of host publicationALIFE 2020: The 2020 Conference on Artificial Life
EditorsJosh Bongard, Juniper Lovato , Laurent Hebert-Dufrésne, Radhakrishna Dasari, Lisa Soros
Number of pages9
PublisherMIT Press
Publication date14 Jul 2020
Publication statusPublished - 14 Jul 2020
EventALIFE 2020: The 2020 Conference on Artificial Life - online, Montreal, Canada
Duration: 13 Jul 202018 Dec 2020


ConferenceALIFE 2020
Internet address
SeriesArtificial Life Conference Proceedings


  • Adaptation
  • Intraspecies Communication
  • Neuroevolution of Augmenting Topologies (NEAT)
  • Simulated Soundscape
  • Environmental Noise Impact


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