University of Twente Student Theses
Artificially intelligent collective decision-making: A systematic review
Hermansone, Beāte (2021) Artificially intelligent collective decision-making: A systematic review.
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| Abstract: | This Bachelor Thesis aims to study the relationship between Artificial Intelligence and collective decision-making models in order to understand how Artificial Intelligence could contribute to non-cooperative and cooperative social choice theories. The relationship between AI and two cooperative decision-making theories namely, Nash bargaining solution and vote trading is examined as well as AI’s relatedness to three non-cooperative group decision-making theories, namely, Condorcet’s paradox, Arrow’s impossibility theorem and Black’s Median Voter theorem, is studied. As the literature relating these concepts is scarce, a systematic literature review following PRISMA guidelines is performed to aim to fill in the existing gaps. The initial dataset incorporated 1,619 documents, which eventually led to a final corpus of 51 relevant articles after applying the exclusion criteria. Results show that AI can be applied two one of the selected cooperative decision-making models, Nash bargaining solution, and the non-cooperative decision-making model Condorcet’s paradox. However, there are no studies indicating how Artificial Intelligence algorithms could facilitate the other examined social choice theories. |
| Item Type: | Essay (Bachelor) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Programme: | Management Society and Technology BSc (56654) |
| Link to this item: | https://purl.utwente.nl/essays/87757 |
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