Computational Phenotypes: Towards an Evolutionary Developmental Biolinguistics by Sergio BalariComputational Phenotypes: Towards an Evolutionary Developmental Biolinguistics by Sergio Balari

Computational Phenotypes: Towards an Evolutionary Developmental Biolinguistics

bySergio Balari, Guillermo Lorenzo

Paperback | January 15, 2013

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This book confronts the hotly debated claim that language is a species specific trait of humans. It also considers the notion that disentangling the evolutionary history of language is one of science's hardest problems. Building on the recent conceptual breakthroughs of the EvoDevo paradigm,Balari and Lorenzo argue that language is not so exceptional after all. It is, rather, just the human version of a fairly common and conservative organic system which they call the Central Computational Complex. The authors also propose that interspecies variation of this organ is restricted to (i) accessible memory resources, and (ii) patterns of external connectivity, both being the result of perturbations on the system underlying its development. The book, written accessibly for both biologists andlinguists, offers a fresh perspective on language as a naturally evolved phenomenon.
Sergio Balari is a Professor of Linguistics at Universitat Autonoma de Barcelona and Guillermo Lorenzo is Professor of Linguistics at Universidad de Oviedo. They are members of an interuniversity team currently working on the developmental basis and evolutionary origins of language, with funds provided by the Spanish Government and FE...
Title:Computational Phenotypes: Towards an Evolutionary Developmental BiolinguisticsFormat:PaperbackDimensions:240 pagesPublished:January 15, 2013Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199665478

ISBN - 13:9780199665471

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Table of Contents

1. The Pains of Being Owenians/Chomskyans/Cartesians at heart2. My Beloved Monster3. The Dead End of Communication4. On True Homologues5. Computational Homology6. Introducing Computational Evo Devo7. Other Minds8. ConclusionsAppendixReferencesIndex