Self-organization in the evolution of speech
著者
書誌事項
Self-organization in the evolution of speech
(Oxford linguistics)(Studies in the evolution of language, 6)
Oxford University Press, 2006
- : [hbk]
- : [pbk]
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注記
Includes bibliographical references (p. [155]-161) and index
内容説明・目次
- 巻冊次
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: [hbk] ISBN 9780199289141
目次
- 1. The Self-Organization Revolution in Science
- 2. The Human Speech Code
- 3. Self-Organization and Evolution
- 4. Existing Theories
- 5. Artificial Systems as Research Tools for Natural Sciences
- 6. The Artificial System
- 7. Learning Perceptuo-Motor Correspondences
- 8. Strong Combinatoriality and Phonotactics
- 9. New Scenarios
- 10. Constructing for Understanding
- References
- Index
- 巻冊次
-
: [pbk] ISBN 9780199289158
内容説明
Speech is the principal supporting medium of language. In this book Pierre-Yves Oudeyer considers how spoken language first emerged. He presents an original and integrated view of the interactions between self-organization and natural selection, reformulates questions about the origins of speech, and puts forward what at first sight appears to be a startling proposal - that speech can be spontaneously generated by the coupling of evolutionarily simple neural
structures connecting perception and production. He explores this hypothesis by constructing a computational system to model the effects of linking auditory and vocal motor neural nets. He shows that a population of agents which used holistic and unarticulated vocalizations at the outset are inexorably led
to a state in which their vocalizations have become discrete, combinatorial, and categorized in the same way by all group members. Furthermore, the simple syntactic rules that have emerged to regulate the combinations of sounds exhibit the fundamental properties of modern human speech systems.
This original and fascinating account will interest all those interested in the evolution of speech.
目次
- 1. The Self-Organization Revolution in Science
- 2. The Human Speech Code
- 3. Self-Organization and Evolution
- 4. Existing Theories
- 5. Artificial Systems as Research Tools for Natural Sciences
- 6. The Artificial System
- 7. Learning Perceptuo-Motor Correspondences
- 8. Strong Combinatoriality and Phonotactics
- 9. New Scenarios
- 10. Constructing for Understanding
- References
- Index
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