A tournament of party decision rules

Authored by James H. Fowler, Michael Laver

Date Published: 2008-02

DOI: 10.1177/0022002707308598

Sponsors: No sponsors listed

Platforms: No platforms listed

Model Documentation: Other Narrative

Model Code URLs: Model code not found

Abstract

Following Axelrod's tournaments for strategies in the repeat-play prisoner's dilemma, we ran a “tournament of party decision rules” in a dynamic agent-based model of party competition. We asked researchers to submit rules for selecting party positions in a two-dimensional policy space, pitting each rule against all others in a suite of long-running simulations. The most successful rule combined a number of striking features: satisficing rather than maximizing in the short run, being “parasitic” on choices made by successful rules, and being hardwired not to attack other agents using the same rule. In a second suite of simulations in a more evolutionary setting in which the selection probability of a rule was a function of the previous success of agents using the same rule, the rule winning the original tournament pulled even further ahead of the competition.

Tags

Agent-based model computer tournament parties and elections party competition