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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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A Whiteheadian approach to the divide between organisms and machines

descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 2025Publisher:Zenodo
Authors: Giorgi, Federico;

doi: 10.5281/zenodo.15692121 , 10.5281/zenodo.15692120

A Whiteheadian approach to the divide between organisms and machines

Abstract

The essay takes a critical stance towards the widespread thesis that life is computable oreven reproducible on a medium other than a biological body. The insights of some opponents of thatthesis were somehow anticipated by Whitehead in his metaphysical works, and the essay is intended tostress the relevance of Whitehead’s processual ontology to the debate on artificial life. Some ofWhitehead’s notions, such as the mental pole and the living person, help significantly to account forthe divide between organisms and machines. Two distinctive characteristics of organisms areespecially analyzed by the essay: their ontogenetic development and their mental faculties.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average