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Computational PhenotypesTowards an Evolutionary Developmental Biolinguistics$
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Sergio Balari and Guillermo Lorenzo

Print publication date: 2012

Print ISBN-13: 9780199665464

Published to Oxford Scholarship Online: January 2013

DOI: 10.1093/acprof:oso/9780199665464.001.0001

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(p.161) 8 Conclusions
Computational Phenotypes

Sergio Balari

Guillermo Lorenzo

Oxford University Press

This concluding chapter explores a number of issues that follow from the model and the methodology developed throughout the book, especially in connection with its possible extensions to the study of other minds as illustrated by the case studies presented in Chapter 7. The focus here is the evolution of computational systems seen as key innovations in the evolution of nervous systems, which may have emerged independently in several metazoan lineages. A number of interesting data are presented on the structure of the arthropod nervous system showing a strong correlation between certain structures and relatively complex behaviors, suggesting the presence of a computational system with properties not too different from those attributed to those of vertebrates. This chapter's conclusion is that the structural approach is in fact a very useful tool for the identification of deep homologies that would remain unknown from the functionalist point of view.

Keywords:   nervous systems, representational mind, computationalism, modularity, deep homology

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