Abstract
Abstract An increasing body of evidence shows that non-human animal languages maybe far more complex than previously assumed. Semantic content in animal alarm calls has been found in the vocalizations of vervet monkeys, some types of ground squirrels, dwarf mongooses, chickens, and Gunnison’s prairie dogs. This paper presents a classification system that provides important evidential support to earlier work on prairie dog communications. It does so using an entirely different system of analysis and a more fully automated experimental procedure. Furthermore, the application of fuzzy logic led to the development of a new system of metrics that can be used to investigate the difficult issues of how information is encoded in animal vocalizations and the level of linguistic complexity of those vocalizations.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.