A Mathematical Model For Optimal Decisions In A Representative Democracy

Part of Advances in Neural Information Processing Systems 31 (NeurIPS 2018)

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Authors

Malik Magdon-Ismail, Lirong Xia

Abstract

Direct democracy, where each voter casts one vote, fails when the average voter competence falls below 50%. This happens in noisy settings when voters have limited information. Representative democracy, where voters choose representatives to vote, can be an elixir in both these situations. We introduce a mathematical model for studying representative democracy, in particular understanding the parameters of a representative democracy that gives maximum decision making capability. Our main result states that under general and natural conditions,

  1. for fixed voting cost, the optimal number of representatives is linear;

  2. for polynomial cost, the optimal number of representatives is logarithmic.