Limitations of spatial models of voting: Difference between revisions

[[Spatial model of voting|Spatial models]] are ubiquitous in theoretical study and simulations of voting methods. In thisthese modelmodels of agent behavior, agents (e.g. voters, candidates) are placed in an abstract geometric space, usually Euclidean, in which each dimension denotes some ideological alignment or opinion on an issue. The behavior of agents is modeled by how "close" (under some appropriate metric) they are to other agents in this space. In the context of voting, voters are modelled as ranking candidates depending on their proximity to each candidate within this space.