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研究生:鍾文衡
研究生(外文):Wen-Heng Chung
論文名稱:政黨傾向及投票行為:以代理人基方式建模
論文名稱(外文):Partisan Attitudes and Voting Behaviors: An Agent-based Modeling Approach
指導教授:孫春在孫春在引用關係
指導教授(外文):Chuen-Tsai Sun
學位類別:碩士
校院名稱:國立交通大學
系所名稱:資訊科學與工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:英文
論文頁數:27
中文關鍵詞:意見動態模型代理人基建模投票
外文關鍵詞:opinion dynamics modelagent-based modelingvoting
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綜觀歷屆選戰易知,同樣的競選方式可能在某次選舉中輕易獲得選民支持並獲得勝利,但是亦可能在不同的社經情況中招致挫敗。故對於參與選戰的政黨人士而言,若能建構模型模擬: 一: 選民意見的形成 二: 不同政黨間的選戰策略,將會具有相當的價值。
本研究針對上述問題利用代理人基建模,使用並延伸一意見動態模型 Bounded Confidence model (BC model )。本模型可用來研究個別的代理人間相互的關係以及它們的集體行為。模型中亦加入了了兩項延伸: 一: 候選人自選民中抽離開來,而以一種特別的代理人類型進行模擬,以構造其不同的選戰策略。二: 選民除了遵循 BC model 之要領外,亦增加了一政黨認同的屬性。
本研究中利用了不同的組合來探討候選人和選民的關係。本模型可被作為一實驗選戰策略之工具,亦可被用作實證選戰結果的分析工具。
Throughout the course of history, it is easily observable that certain methods could easily persuade voters and results a victory, while the very same methods might fail under a different socio-economic circumstance. A simulation model that could take the following criteria into considerations would be valuable to stakeholders of campaign planners of political parties: (a) the opinion formations of the constituents (b) the campaign strategies of the competing political groups.
This study employs the paradigm of agent-based modeling, and adopts and extends an opinion dynamics model, Bounded Confidence model. The model is used to investigate the influence between individual agents and their collective behaviors. The model is extended in this study by introducing the following extensions: (a) the election candidates are modelled as a special class of agents with different power and campaign tactics (b) the voters are modelled as agents with an extra attribute of the affinity toward each political party.
Different simulations of this model are conducted to investigate the relationships between voters and candidates under different configurations. The model provides a testbed of election campaign strategies and could serve as an analysis tool for empirical field studies.
中文摘要 i
Abstract ii
Acknowledgements iii
Table of Contents iv
List of Figures v
Chapter 1 Introduction 1
Chapter 2 Literature Review 4
2.1 Electoral Studies 4
2.2 Agent-based Modelling & Its Applications on Voting Simulations 5
2.3 Bounded Confidence Model 7
2.4 Summary 10
Chapter 3 Architecture of the Model 11
3.1 Basic Architecture 11
3.2 Detail Operations of Voters and Candidates 23
3.3 Voting Simulation Sequence 16
Chapter 4 Experiments 17
4.1 All Herding Individuals 18
4.2 The Effects of Party Supporters 20
4.3 The Effects of Candidate Fans 23
Chapter 5 Conclusions 25
Bibliography 26
[1] Barrie Axford, Gary K. Browing, Richard Guggins, and Ben Rosamond, “Politics: An Introduction, 2nd ed.”, Routledge: Taylor & Francis Group, 2002
[2] Campbell, Angus, Philip E. Converse, Warren E. Miller, and Donald B. Stokes, “The American Voter”, New York: Wiley, 1960
[3] Chi-Yu Chang, “In the Dynamics of Political Polarization Using Social Simulation”, Master thesis, Institute of Computer Science, National Chiao-Tung University, Taiwan, 2004
[4] Philip E. Converse, “Researching Electoral Politics”, American Political Science Review Vol. 100, No. 4, pp. 605-612, 2006
[5] J. C. Dittmer, “Consensus Formation Under Bounded Confidence”, Nonlinear Analysis, Vol. 47, pp. 4615-4621, 2001
[6] James N. Druckman, Donald P. Green, James H. Kuklinski and Arthur Lupia, “The Growth and Development of Experimental Research in Political Science”, The American Political Science Review, Vol. 100, No. 4, pp. 627-635, 2006
[7] Rainer Hegselmann and Ulrich Krause, “Opinion Dynamics and Bounded Confidence: Models, Analysis and Simulation”, Journal of Artificial Societies and Social Simulation, Vol 5., No. 3., 2002
[8] Paul E. Johnson, “Simulation Modeling in Political Science”, The American Behavioral Scientist, Vol. 42, No. 10, pp. 1509-1530, 1999
[9] Johannes Kottonau and Claudia Pahl-Wostl, “Simulating Political Attitudes and Voting Behavior”, Journal of Artificial Societies and Social Simulation, Vol. 7, No. 4, 2004
[10] Ulrich Krause, “A Discrete Nonlinear and Non-autonomous Model of Consensus Formation”, Communications in Difference Equations, Amsterdam: Gordan and Breach Publ., pp. 227-236, 2000
[11] Jinn-Guey Lay, Yu-Wen Chen, and Ko-Hua Yap, “Spatial Variation of the DPP’s Expansion between Taiwan’s Presidential Elections”, Issues & Studies, Vol. 42, No. 4, pp. 1-22, 2006
[12] Lazarsfeld, P. F. Berelson, B. and Gaudet, H., “The People’s Choice: How the Voter Makes Up His Mind in a Presidential Campaign, 3rd ed.”, New York: Columbia University Press, 1968
[13] Ian S. Lustick, Dan Miodownik and Roy J. Eidelson, “Secessionism in Multicultural States: Does Sharing Power Prevent or Encourage It?”, American Political Science Review, Vol. 98, No. 2, pp. 209-229, 2004
[14] Yamakage Susumu, “Political Science and Multi-Agent Simulations: Affinities, Examples and Possibilities”, http://citrus.c.u-tokyo.ac.jp/download/wp10_yamakage.pdf
[15] 范凌嘉, “選舉預測誤差控制的嘗試: 以特質調整模型 (JIA Model) 為例”, 選舉研究, 第八卷第一期, pp. 25-69, 2001
[16] 劉文卿, “台北市長選舉之基因預測模型”, 選舉研究, 第二卷第一期, pp. 1-16, 1995
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