Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/23289
題名: | Understanding the Nature of Predatory Pricing in Large-Scale Market Economy with Genetic Algorithms | 作者: | 陳樹衡;C.-C. Ni;S. Feng Chen,Shu-Heng |
關鍵詞: | Chain-store game; Predatory pricing; Evolutionary game; Genetic algorithms; Co-evolutionary stability | 日期: | 九月-1996 | 上傳時間: | 9-一月-2009 | 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 | 關聯: | Journal of Systems Engineering and Electronics,8(2),33-44 | 資料類型: | article | DOI: | http://dx.doi.org/10.1109/ISIC.1996.556227 |
Appears in Collections: | 期刊論文 |
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.