Policy and the Dynamics of Political Competition
Policy and the Dynamics of Political Competition
复制标题
政策和政治竞争的动态
DOI：
10.1017/s0003055405051646
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发表时间：
2005
影响因子：
6.8
通讯作者：
M. Laver
中科院分区：
文献类型：
--
作者：
M. Laver
本文提出了一个模型，将基于动态代理的分析政策驱动的政党竞争到一个多方的环境。在这种情况下，选民不断审查政党的支持，并更换政党以提高他们的期望;政党不断调整政策立场，以适应选民不断变化的关系。不同的算法党适应，包括“聚合器”（适应党的政策，以党的支持者的理想政策立场），猎人（重复的政策动作，奖励;否则，随机移动），捕食者（移动党的政策对最大的党的政策立场），和“贴纸”（永远不会改变党的政策）。使用不同的适应方法的缔约方的行为的强烈趋势进行了探讨。然后，该模型被应用在一系列的实验中的一个真实的政党系统的动态，在公布的民意调查时间序列。本文报告的第一步走向内生化的过程中，包括出生和死亡的政党，内部党的决策规则，选民的理想点的关键特征。
This paper proposes a model that takes the dynamic agent-based analysis of policy-driven party competition into a multiparty environment. In this, voters continually review party support and switch parties to increase their expectations; parties continually readapt policy positions to the shifting affiliations of voters. Different algorithms for party adaptation are explored, including “Aggregator” (adapt party policy to the ideal policy positions of party supporters), Hunter (repeat policy moves that were rewarded; otherwise make random moves), Predator (move party policy toward the policy position of the largest party), and “Sticker” (never change party policy). Strong trends in the behavior of parties using different methods of adaptation are explored. The model is then applied in a series of experiments to the dynamics of a real party system, described in a published opinion poll time series. This paper reports first steps toward endogenizing key features of the process, including the birth and death of parties, internal party decision rules, and voter ideal points.