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Biological Recursion and Digital Systems

Conceptual Tools for Analysing Man-Machine Interaction

Bibliographic Data

ID2353015
AuthorsPaolo Totaro (0000-0001-5098-5600, Instituto de Ciências Sociais Universidade Federal de Alagoas (UFAL), corresponding author), Domenico Ninno (0000-0003-4261-8186, Università di Napoli ‘Federico II’)
Year2020
Volume37
Issue5
Pages27-49
Publication date2020-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTheory Culture & Society (JOURNAL)
Journal identifiersISSN: 0263-2764 • E-ISSN: 1460-3616
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0263276420915264
OpenAlexW3020982957
LanguageEN
References cited18

The theory of numbers, the theory of computation and well-known biological and neurological studies on cognition and consciousness all indicate the concept of recursion as their common denominator. Mathematical recursion owes its meaning and properties to a dual relationship between its results, which always constitute a sequence, and the operator that generated them, which is instead invariant. This article proposes that this duality in recursion originates from the duality between the biological homeostatic equilibrium in living systems and the adaptive physico-chemical changes required to sustain such equilibria. Such duality gives order and meaning to the experiences of a living system. One of the many implications of this innovative perspective is that this duality can decouple computational results from our intuitive order relations, and that this can cause a rarefaction of the capacity of digital systems to convey communication and favour adaptation to the environment

Algorithm · Cognitive science · Consciousness · Dual (grammatical number · Duality (order theory · Epistemology · Invariant (physics · Living systems · Meaning (existential · Pure mathematics · Recursion (computer science · Computability, Logic, AI Algorithms · Computer Science · Evolutionary Algorithms and Applications · Mathematics · Psychology · Artificial Intelligence · Theoretical Computer Science

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Citation velocityhistorical
Highly citedNo

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