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Preprints, Working Papers, ... Year : 2021

Improving human collective decision-making through animal and artificial intelligence

Abstract

Whilst fundamental to human societies, collective decision-making such as voting systems can lead to non-efficient decisions, as past climate policies demonstrate. Current systems are harshly criticized for the way they consider voters’ needs and knowledge. Collective decision-making is central in human societies but also occurs in animal groups mostly when animals need to choose when and where to move. In these societies, animals balance between the needs of the group members and their own needs and rely on each individual’s (partial) knowledge. We argue that non-human animals and humans share similar collective decision processes, among which are agenda-setting, deliberation and voting. Recent works in artificial intelligence have sought to improve decision-making in human groups, sometimes inspired by animals’ decision-making systems. We discuss here how our societies could benefit from recent advances in ethology and artificial intelligence to improve our collective decision-making system.
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Dates and versions

hal-03299087 , version 1 (28-07-2021)
hal-03299087 , version 2 (30-07-2021)
hal-03299087 , version 3 (30-08-2021)

Identifiers

PCI Recommendation

Recommended by:

Frédéric Amblard. Bio-inspired solutions for collective decision-making in a networked society.
Peer Community In Network Science. 2021-9-3
https://doi.org/10.24072/pci.networksci.100002

Cite

Cédric Sueur, Christophe Bousquet, Romain Espinosa, Jean-Louis Deneubourg. Improving human collective decision-making through animal and artificial intelligence. 2021. ⟨hal-03299087v3⟩
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