dc.contributor.advisor | 劉吉軒 | zh_TW |
dc.contributor.author (Authors) | 呂一軒 | zh_TW |
dc.creator (作者) | 呂一軒 | zh_TW |
dc.date (日期) | 2010 | en_US |
dc.date.accessioned | 5-Oct-2011 16:18:38 (UTC+8) | - |
dc.date.available | 5-Oct-2011 16:18:38 (UTC+8) | - |
dc.date.issued (上傳時間) | 5-Oct-2011 16:18:38 (UTC+8) | - |
dc.identifier (Other Identifiers) | G0097753013 | en_US |
dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/51472 | - |
dc.description (描述) | 碩士 | zh_TW |
dc.description (描述) | 國立政治大學 | zh_TW |
dc.description (描述) | 資訊科學學系 | zh_TW |
dc.description (描述) | 97753013 | zh_TW |
dc.description (描述) | 99 | zh_TW |
dc.description.abstract (摘要) | 對於現有文獻中討論的預測市場模型,嘗試加入風險與聲譽變數,觀察與分析其成效,並參考文獻中的代理人系統實驗方法,對論文中相關部分進行修正、設計並模擬之預測市場模型。 | zh_TW |
dc.description.abstract (摘要) | In this research, we proposed two variables that could be incorporated with predictionmarkets: Reputation and Risk. Instead of attracting new players, The reputation systemcould stop losing bankrupted player, Player willing to help bankrupted player will gainreputation, and bankrupted player will lose reputation. Previous works suggest longshotbias is related to the risk-neutrality of players. Our approach is to experiment di erentrisk distribution. We observe the impact of these variables in an agent-based modelof prediction markets. We use zero-intelligence agents, where human qualities such asmaximizing prot, learning or obeserving are missing. We further discuss the result, andthe impact of risk and reputation. | en_US |
dc.description.tableofcontents | 1 Introduction 11.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.2 Issues of Prediction Market Systems . . . . . . . . . . . . . . . . . . . . . . 21.3 Agents and Prediction Markets . . . . . . . . . . . . . . . . . . . . . . . . 31.4 Research Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.5 Thesis Organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 Literature Review 62.1 Prediction Markets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.1.1 Evolution of Prediction Markets . . . . . . . . . . . . . . . . . . . . 72.1.2 Implementations and Experiments . . . . . . . . . . . . . . . . . . . 82.2 Multi-Agent System for Simulating Prediction Markets . . . . . . . . . . . 82.2.1 Zero-Intelligence Agents in Prediction Markets . . . . . . . . . . . . 92.2.2 Non-ZI Agents versus ZI agents . . . . . . . . . . . . . . . . . . . . 93 Methodology 113.1 Prediction Market Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . 113.1.1 Information Structure . . . . . . . . . . . . . . . . . . . . . . . . . 133.1.2 Market Mechanism . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.1.3 Trader Behavior . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163.2 Reputation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.3 Risk Parameter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.4 Populating Agents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193.5 Experiments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193.5.1 Control set . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193.5.2 Risk only set . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203.5.3 Reputation only set . . . . . . . . . . . . . . . . . . . . . . . . . . . 203.5.4 Reputation and Risk set . . . . . . . . . . . . . . . . . . . . . . . . 214 Simulation Results 234.1 Performance metrics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234.2 Experiment results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254.2.1 Control experiments . . . . . . . . . . . . . . . . . . . . . . . . . . 254.2.2 Risk-only experiments . . . . . . . . . . . . . . . . . . . . . . . . . 284.2.3 Reputation-only experiments . . . . . . . . . . . . . . . . . . . . . . 304.2.4 Risk and Reputation experiments . . . . . . . . . . . . . . . . . . . 324.3 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 345 Conclusions 365.1 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 365.2 Future Works . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37Bibliography 38Appendix 41A Figures of experiments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41A.1 Control experiments . . . . . . . . . . . . . . . . . . . . . . . . . . 41A.2 Risk-only experiments . . . . . . . . . . . . . . . . . . . . . . . . . 42A.3 Reputation-only experiments . . . . . . . . . . . . . . . . . . . . . . 43A.4 Risk and reputation experiments . . . . . . . . . . . . . . . . . . . 44 | zh_TW |
dc.language.iso | en_US | - |
dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0097753013 | en_US |
dc.subject (關鍵詞) | 多代理人系統 | zh_TW |
dc.subject (關鍵詞) | 預測市場 | zh_TW |
dc.subject (關鍵詞) | Multi-agent system | en_US |
dc.subject (關鍵詞) | Prediction market | en_US |
dc.title (題名) | 以多代理人系統模擬風險與聲譽變數於預測市場之成效研究 | zh_TW |
dc.title (題名) | A multi-agent simulation and performance analysis with risk and reputation in prediction market system | en_US |
dc.type (資料類型) | thesis | en |
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