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How Evolution May Work Through Curiosity-Driven Developmental Process
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In: ISSN: 1756-8757 ; EISSN: 1756-8765 ; Topics in cognitive science ; https://hal.inria.fr/hal-01404334 ; Topics in cognitive science, Wiley, 2016, 8, ⟨10.1111/tops.12196⟩ ; https://www.ncbi.nlm.nih.gov/pubmed/26969919 (2016)
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Open challenges in understanding development and evolution of speech forms: The roles of embodied self-organization, motivation and active exploration
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In: ISSN: 0095-4470 ; EISSN: 1095-8576 ; Journal of Phonetics ; https://hal.inria.fr/hal-01250777 ; Journal of Phonetics, Elsevier, 2015, 53, pp.5. ⟨10.1016/j.wocn.2015.09.001⟩ ; http://www.sciencedirect.com/science/article/pii/S0095447015000716 (2015)
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The Self-Organization of Speech Sounds
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In: ISSN: 0022-5193 ; EISSN: 1095-8541 ; Journal of Theoretical Biology ; https://hal.inria.fr/inria-00001176 ; Journal of Theoretical Biology, Elsevier, 2005 (2005)
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The Self-Organization of Speech Sounds
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In: ISSN: 0022-5193 ; EISSN: 1095-8541 ; Journal of Theoretical Biology ; https://hal.archives-ouvertes.fr/hal-00004318 ; Journal of Theoretical Biology, Elsevier, 2005, 233, pp.Issue 3, Pages 435-449. ⟨10.1016/j.jtbi.2004.10.025⟩ (2005)
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Abstract:
The speech code is a vehicle of language: it defines a set of forms used by a community to carry information. Such a code is necessary to support the linguistic interactions that allow humans to communicate. How then may a speech code be formed prior to the existence of linguistic interactions? Moreover, the human speech code is discrete and compositional, shared by all the individuals of a community but different across communities, and phoneme inventories are characterized by statistical regularities. How can a speech code with these properties form? We try to approach these questions in the paper, using the "methodology of the artificial". We build a society of artificial agents, and detail a mechanism that shows the formation of a discrete speech code without pre-supposing the existence of linguistic capacities or of coordinated interactions. The mechanism is based on a low-level model of sensory-motor interactions. We show that the integration of certain very simple and non language-specific neural devices leads to the formation of a speech code that has properties similar to the human speech code. This result relies on the self-organizing properties of a generic coupling between perception and production within agents, and on the interactions between agents. The artificial system helps us to develop better intuitions on how speech might have appeared, by showing how self-organization might have helped natural selection to find speech.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]; [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO]; [MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]; agents; articulatory; artificial; coding; consonants; deBoer; discrete; evolution; forms; Goldstein; Hurford; language; learning; Lindblom; network; neural; neurons; origins; phonemic; phonetics; phonology; self-organisation; self-organization; sounds; speech; Studdert-Kennedy; systems; vowels
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URL: https://hal.archives-ouvertes.fr/hal-00004318
https://hal.archives-ouvertes.fr/hal-00004318/document
https://hal.archives-ouvertes.fr/hal-00004318/file/jtpSelfOrganization.pdf
https://doi.org/10.1016/j.jtbi.2004.10.025
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Phonemic coding might be a result of sensory-motorcoupling dynamics
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In: https://hal.archives-ouvertes.fr/hal-00000791 ; 2003 (2003)
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