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Synthetic Modelling of Biological Communication: A Theoretical and Operational Framework for the Investigation of Minimal Life and Cognition

Bich, Leonardo and Frick, Ramiro (2018) Synthetic Modelling of Biological Communication: A Theoretical and Operational Framework for the Investigation of Minimal Life and Cognition. Complex Systems, 27 (3). pp. 267-287. ISSN 0891-2513

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Abstract

This paper analyses conceptual and experimental work in synthetic biology on different types of interactions considered as minimal examples or models of communication. It discusses their pertinence and relevance for the wider understanding of this biological and cognitive phenomenon. It critically analyses their limits and it argues that a conceptual framework is needed. As a possible solution, it provides a theoretical account of communication based on the notion of organisation, and characterised in terms of the functional influence exerted by the sender upon the receiver. It shows that this account can be operationalised in synthetic biology, and that it can supply criteria and guidelines for the design and evaluation of synthetic models.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Bich, Leonardoleonardo.bich@ehu.es0000-0002-2416-112X
Frick, Ramiro
Keywords: Regulation; synthetic biology; minimal cognition; influence; organisation; biological functions; protocells.
Subjects: Specific Sciences > Biology
Specific Sciences > Biology > Function/Teleology
Specific Sciences > Complex Systems
Specific Sciences > Cognitive Science
General Issues > Models and Idealization
General Issues > Operationalism/Instrumentalism
General Issues > Technology
Depositing User: Dr. Leonardo Bich
Date Deposited: 27 Nov 2018 16:39
Last Modified: 27 Nov 2018 16:39
Item ID: 15380
Journal or Publication Title: Complex Systems
Publisher: Complex Systems Publications, Inc.
Official URL: https://www.complex-systems.com/abstracts/v27_i03_...
DOI or Unique Handle: https://doi.org/10.25088/ComplexSystems.27.3.267.
Subjects: Specific Sciences > Biology
Specific Sciences > Biology > Function/Teleology
Specific Sciences > Complex Systems
Specific Sciences > Cognitive Science
General Issues > Models and Idealization
General Issues > Operationalism/Instrumentalism
General Issues > Technology
Date: November 2018
Page Range: pp. 267-287
Volume: 27
Number: 3
ISSN: 0891-2513
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/15380

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