首页> 外文会议>IEEE International Symposium on Intelligent Control >Understanding the nature of predatory pricing in the large-scale market economy with genetic algorithms
【24h】

Understanding the nature of predatory pricing in the large-scale market economy with genetic algorithms

机译:了解遗传算法大规模市场经济中掠夺性定价的性质

获取原文

摘要

This paper applies co-evolutionary genetic algorithms to an economic modelling problem. The chain-store game is a game-theoretic model for predatory pricing (price wars); the modelling goal is to study when predatory pricing can arise. It is found that, even under the same payoff structure, the results of the co-evolution of weak monopolists and entrants are sensitive to the representation of the decision-making process. Two representations are studied: 1) the action-based representation, and 2) the strategy-based representation. The former is to represent a naive mind and the latter is to capture a sophisticated mind. For the action-based representation, the convergence results are easily obtained and predatory pricing is only temporary in all simulations. However, for the strategy-based representation, predatory pricing is not a rare phenomenon and its appearance is cyclical but not regular.
机译:本文适用于经济建模问题的共同进化遗传算法。连锁店游戏是掠夺性定价的游戏 - 理论模型(价格战);建模目标是在可能出现掠夺性定价时研究。结果发现,即使在相同的收益结构下,弱垄断者和参赛者的共同演变结果也对决策过程的代表敏感。研究了两个表示:1)基于动作的表示,以及2)基于策略的代表。前者是代表一个天真的心灵,后者是捕捉复杂的心灵。对于基于动作的表示,容易获得收敛结果,并且在所有模拟中才暂时捕获。然而,对于基于战略的代表,掠夺性定价不是罕见的现象,其外观是周期性的,但不常规。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号