Democratic Reason: Politics, collective intelligence and the rule of the many

By Alfred Moore. 2014

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Weinan Zhang
2. Yong Yu
3. Jiacheng Yang
4. Lianmin Zheng
5. Han Cai
6. Marcus Pivato
7. J. Wang
8. Jun Wang

Citations in the corpus

• MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence (2017, background): “For instance, theoretically, Condorcet’s jury theorem (Landemore 2013) shows that, under certain assumption, adding more voters in a group would increase the probability that the majority chooses the right answer.”
• Epistemic democracy with correlated voters (2017, background): “A growing literature argues that deliberation can improve the epistemic efficacy of democratic decision-making (Elster, 1998; Fishkin and Laslett, 2003; Landemore and Elster, 2012; Landemore, 2013).”