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Interactive Models in Synthetic Biology: Exploring Biological and Cognitive Inter-Identities

Bich, Leonardo (2020) Interactive Models in Synthetic Biology: Exploring Biological and Cognitive Inter-Identities. Frontiers in Psychology, 11 (682). ISSN 1664-1078

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Abstract

The aim of this article is to investigate the relevance and implications of synthetic models for the study of the interactive dimension of minimal life and cognition, by taking into consideration how the use of artificial systems may contribute to an understanding of the way in which interactions may affect or even contribute to shape biological identities. To do so, this article analyzes experimental work in synthetic biology on different types of interactions between artificial and natural systems, more specifically: between protocells and between biological living cells and protocells. It discusses how concepts such as control, cognition, communication can be used to characterize these interactions from a theoretical point of view, which criteria of relevance and evaluation of synthetic models can be applied to these cases, and what are their limits.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Bich, Leonardoleonardo.bich@ehu.es0000-0002-2416-112X
Keywords: regulation, synthetic models, communication, minimal cognition, criteria of relevance, criteria of evaluation, Turing test
Subjects: Specific Sciences > Biology
Specific Sciences > Cognitive Science
General Issues > Models and Idealization
General Issues > Technology
Depositing User: Dr. Leonardo Bich
Date Deposited: 16 Apr 2020 20:22
Last Modified: 16 Apr 2020 20:22
Item ID: 17085
Journal or Publication Title: Frontiers in Psychology
Publisher: Frontiers
Official URL: https://www.frontiersin.org/articles/10.3389/fpsyg...
DOI or Unique Handle: https://doi.org/10.3389/fpsyg.2020.00682
Subjects: Specific Sciences > Biology
Specific Sciences > Cognitive Science
General Issues > Models and Idealization
General Issues > Technology
Date: 15 April 2020
Volume: 11
Number: 682
ISSN: 1664-1078
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/17085

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