What question did this study set out to answer?

This survey investigates the challenges in collective intelligence and prediction markets, focusing on decision-making accuracy and knowledge aggregation.

May 22, 2023

Challenges in Collective Intelligence: A Survey

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Authors

KPKristijan PojeUniversity of Zagreb MBMario BrčićUniversity of Zagreb MKMihael KovačUniversity of Ljubljana

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Implication

Survey reviews challenges of collective intelligence and prediction markets, suggesting future research in machine learning.

Key Points

This survey investigates the challenges in collective intelligence and prediction markets, focusing on decision-making accuracy and knowledge aggregation.
Survey of existing literature on collective intelligence and prediction markets
Analysis of challenges including manipulation, fallacies, and group polarization
Examination of the role of machine learning in improving CI and PM effectiveness.
Identified key challenges in CI and PMs such as manipulation and group polarization.
Discussed the potential of machine learning to enhance the effectiveness of prediction markets.
Emphasized the need for ongoing research to address these challenges.

Cite This Study

Poje et al. (2023) studied this question.

synapsesocial.com/papers/6a1c749823b9c7180b2fccff https://doi.org/10.23919/mipro57284.2023.10159767

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Challenges in Collective Intelligence: A Survey

Discussion

Member takes

Implication

Key Points

Cite This Study

Challenges in Collective Intelligence: A Survey

Discussion

Member takes

Implication

Key Points

Cite This Study

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