@inproceedings{7810221353cb4b828f2117ba54f4a88f,
title = "Opinion Averaging Versus Argument Exchange",
abstract = "Opinion averaging is a common means of judgment aggregation that is employed in the service of crowd wisdom effects. In this paper, we use simulations with agent-based models to highlight contexts in which opinion averaging leads to poor outcomes. Specifically, we illustrate the conditions under which the optimal posterior prescribed by a normative model of Bayesian argument exchange diverges from the mean belief that would be arrived at via simple averaging. The theoretical and practical implications of this are discussed.",
keywords = "Opinion dynamics, Averaging, Argument, Wisdom of the crowd, Agent-based simulation, Opinion dynamics, Averaging, Argument, Wisdom of the crowd, Agent-based simulation",
author = "Ulrike Hahn and Leon Assaad and Burton, {Jason W.}",
year = "2024",
language = "English",
series = "Proceedings of the Annual Meeting of the Cognitive Science Society",
publisher = "Cognitive Science Society",
pages = "4554--4560",
booktitle = "46th Annual Meeting of the Cognitive Science Society (CogSci 2024)",
address = "United States",
}