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      Atypical birdsong and artificial languages provide insights into how communication systems are shaped by learning, use, and transmission

      research-article
      Psychonomic Bulletin & Review
      Springer US
      Birdsong, Artificial languages, Language evolution

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          Abstract

          In this article, I argue that a comparative approach focusing on the cognitive capacities and behavioral mechanisms that underlie vocal learning in songbirds and humans can provide valuable insights into the evolutionary origins of language. The experimental approaches I discuss use abnormal song and atypical linguistic input to study the processes of individual learning, social interaction, and cultural transmission. Atypical input places increased learning and communicative pressure on learners, so exploring how they respond to this type of input provides a particularly clear picture of the biases and constraints at work during learning and use. Furthermore, simulating the cultural transmission of these unnatural communication systems in the laboratory informs us about how learning and social biases influence the structure of communication systems in the long run. Findings based on these methods suggest fundamental similarities in the basic social–cognitive mechanisms underlying vocal learning in birds and humans, and continuing research promises insights into the uniquely human mechanisms and into how human cognition and social behavior interact, and ultimately impact on the evolution of language.

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          Most cited references76

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          Social categorization and intergroup behaviour

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            The different roles of social learning in vocal communication.

            While vocal learning has been studied extensively in birds and mammals, little effort has been made to define what exactly constitutes vocal learning and to classify the forms that it may take. We present such a theoretical framework for the study of social learning in vocal communication. We define different forms of social learning that affect communication and discuss the required methodology to show each one. We distinguish between contextual and production learning in animal communication. Contextual learning affects the behavioural context or serial position of a signal. It can affect both usage and comprehension. Production learning refers to instances where the signals themselves are modified in form as a result of experience with those of other individuals. Vocal learning is defined as production learning in the vocal domain. It can affect one or more of three systems: the respiratory, phonatory and filter systems. Each involves a different level of control over the sound production apparatus. We hypothesize that contextual learning and respiratory production learning preceded the evolution of phonatory and filter production learning. Each form of learning potentially increases the complexity of a communication system. We also found that unexpected genetic or environmental factors can have considerable effects on vocal behaviour in birds and mammals and are often more likely to cause changes or differences in vocalizations than investigators may assume. Finally, we discuss how production learning is used in innovation and invention, and present important future research questions. Copyright 2000 The Association for the Study of Animal Behaviour.
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              Social Learning in Animals: Empirical Studies and Theoretical Models

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                Author and article information

                Contributors
                olga.feher@ed.ac.uk
                Journal
                Psychon Bull Rev
                Psychon Bull Rev
                Psychonomic Bulletin & Review
                Springer US (New York )
                1069-9384
                1531-5320
                20 July 2016
                20 July 2016
                2017
                : 24
                : 1
                : 97-105
                Affiliations
                ISNI 0000 0004 1936 7988, GRID grid.4305.2, School of Philosophy, Psychology and Language Sciences, , University of Edinburgh, ; Edinburgh, UK
                Article
                1107
                10.3758/s13423-016-1107-5
                5325865
                27439502
                9c4868d4-7cd8-45ad-a7d6-d46cf2fe2aa5
                © The Author(s) 2016

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000269, Economic and Social Research Council;
                Award ID: ES/K006339
                Categories
                Brief Report
                Custom metadata
                © Psychonomic Society, Inc. 2017

                Clinical Psychology & Psychiatry
                birdsong,artificial languages,language evolution
                Clinical Psychology & Psychiatry
                birdsong, artificial languages, language evolution

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