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dc.contributor.authorBrunet, TDP
dc.contributor.authorHalina, M
dc.date.accessioned2022-01-13T00:30:52Z
dc.date.available2022-01-13T00:30:52Z
dc.date.issued2020-06-01
dc.identifier.issn0276-2080
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/332666
dc.description.abstract<jats:p>Recent debates about the biological and evolutionary conditions for sentience have generated a renewed interest in fine-grained functionalism. According to one such account advanced by Peter Godfrey-Smith, sentience depends on the fine-grained activities characteristic of living organisms. Specifically, the scale, context and stochasticity of these fine-grained activities. One implication of this view is that contemporary artificial intelligence (AI) is a poor candidate for sentience. Insofar as current AI lacks the ability to engage in such living activities it will lack sentience, no matter what its coarse-grained functions. In this paper, we review the case for fine-grained functionalism and show that there are contemporary machines that fulfil the fine-grained functional criteria identified by Godfrey-Smith, and thus are candidates for sentience. Molecular machines such as Brownian computers are analogous to metabolic activity in their scale, context and stochasticity, and can serve as the basis of AI. Molecular computation is a promising candidate for artificial sentience according to contemporary philosophical accounts of sentience.</jats:p>
dc.publisherPhilosophy Documentation Center
dc.rightsPublisher's own licence
dc.titleMinds, machines, and molecules
dc.typeArticle
dc.publisher.departmentDepartment of History And Philosophy of Science
dc.date.updated2022-01-05T16:48:36Z
prism.endingPage241
prism.issueIdentifier1
prism.publicationDate2020
prism.publicationNamePhilosophical Topics
prism.startingPage221
prism.volume48
dc.identifier.doi10.17863/CAM.80111
dcterms.dateAccepted2020-09-13
rioxxterms.versionofrecord10.5840/PHILTOPICS202048111
rioxxterms.versionAM
dc.contributor.orcidHalina, Marta [0000-0002-3482-4281]
dc.identifier.eissn2154-154X
rioxxterms.typeJournal Article/Review
cam.issuedOnline2020
cam.orpheus.success2022-01-12 - Embargo set during processing via Fast-track
cam.depositDate2022-01-05
pubs.licence-identifierapollo-deposit-licence-2-1
pubs.licence-display-nameApollo Repository Deposit Licence Agreement
rioxxterms.freetoread.startdate2020-12-25


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