| dc.contributor.advisor | 楊建民 | zh_TW |
| dc.contributor.author (Authors) | 朱文禎 | zh_TW |
| dc.contributor.author (Authors) | Chu, Wen-chen | en_US |
| dc.creator (作者) | 朱文禎 | zh_TW |
| dc.creator (作者) | Chu, Wen-chen | en_US |
| dc.date (日期) | 2002 | en_US |
| dc.date.accessioned | 18-Sep-2009 14:21:01 (UTC+8) | - |
| dc.date.available | 18-Sep-2009 14:21:01 (UTC+8) | - |
| dc.date.issued (上傳時間) | 18-Sep-2009 14:21:01 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0086356502 | en_US |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/35169 | - |
| dc.description (描述) | 博士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 資訊管理研究所 | zh_TW |
| dc.description (描述) | 86356502 | zh_TW |
| dc.description (描述) | 91 | zh_TW |
| dc.description.abstract (摘要) | 軟體元件電子市集突現：以代理人為基礎之計算經濟研究途徑摘 要軟體發展與演進過程中，產生軟體危機問題，而軟體再用是解決軟體危機的重要因應之道。軟體元件電子市集的興起是軟體演進史上一個重要里程碑，提供軟體再用的核心基礎建設。本文探討軟體元件電子市集突現的本質原因和信任關係的發展過程，以遺傳規劃法(Genetic Programming, GP)為主的代理人基礎的計算經濟 (Agent-based Computational Economics, ACE) 研究途徑，整合軟體元件特性、交易成本、滿意和信任關係建立模擬模式。藉以觀察和分析底層買賣雙方連續滿意交易與信任關係發展，和上層軟體元件電子市集行為突現(emerge)動態過程。結果顯示：在市場力量下，具標準化軟體元件，電子市集行為突現過程中，謹慎型交易策略將會勝出，進而主導整個市場。當元件功能特殊性程度低時，電子市集行為的購買率將比元件功能特殊性程度高者更為顯著。如果考慮交易態度滿意與否，記憶型滿意者市集行為的購買率將顯著低於高滿意型，而顯著高於低滿意型。若考慮不同信任程度函數，高信任型電子市集購買率顯著高於低信任型，低信任型其電子市集購買率顯著高於不信任型，對於目錄型市集行為和忠誠目錄型市集行為，上述信任函數的形態亦依序顯著影響購買率的高低。同時，在不同信任型之間，高信任型大多數有連續累積交易行為；而低信任型則同時採用連續和臨時交易行為；不信任型大多數是臨時交易行為，要花費更多時間的演化，以建立彼此信任關係才會出現連續交易乃至於連續累積交易行為。關鍵字：軟體元件電子市集、交易成本、遺傳規劃法、代理人基礎計算經濟、信任、突現 | zh_TW |
| dc.description.abstract (摘要) | The Emergence of Software Component Electronic Marketplaces: Through An Agent-based Computing Economics ApproachAbstractSoftware reuse plays a vital role in response to software crises in software evolution. An emergence of software component e-marketplace is one of the great milestones providing a core infrastructure for software reuse. The objective of this study involving features of s/w components, transaction costs and satisfaction-trust relations intends to understand why s/w component e-marketplaces emerge as well as demonstrate how they do. The model allows agents to develop their trust in the market as a function of continuation of a satisfied relation through an agent-based computational economics approach with genetic programming.The findings show that the agents with prudent strategies tend to dominate the market in evolution of e-marketplaces under the market power. In addition, the lower level the functional particularity of component is, the higher the buying rate is. As the satisfaction attitude is taken into consideration, the buying rate of recall-satisfied agents lies between that of low-satisfied agents and that of high-satisfied agents.Moreover, when the comparisons are made among the three types of trust function, the buying rate of the high-trust agent is higher than that of low-trust agents. And the buying rate of the low-trust agent is bigger than that of not-trust agents. Similarly, the sequences of the buying rate are strongly influenced by different type of trust function at the catalog market and the loyal catalog market.Meanwhile, almost all high-trust agents have continuous and loyal trade behavior. Either continuous or temporal trade behavior is usually found in the low-trust agents. The tentative trade behavior is seen among almost every not-trust agents. In another words, it is well obvious that it takes more time for the not-trust agents to accumulate trust from their possible trade partners.Keywords: Software component electronic marketplaces; Transaction costs; Genetic programming (GP); Agent-based computational economics (ACE); Trust, Emergence | en_US |
| dc.description.tableofcontents | 目錄第一章 緒論 1 1.1 研究動機與目的 11.2研究範圍與流程 51.3 論文結構與內容 7第二章 文獻探討與模式推導 82.1軟體發展之演進 82.1.1軟體演進階段與危機 82.1.2軟體再用 92.1.3 軟體元件統治結構與電子市集 122.2. 軟體元件電子市集突現 172.2.1代理人為基礎計算經濟 172.2.2遺傳規劃法 222.2.3軟體元件統治結構突現本質 262.2.3.1 利潤因素 262.2.3.2 人性因素 332.2.4軟體元件統治突現模式 352.2.5軟體元件電子市集統治突現模式 392.2.6軟體元件電子市集突現命題 53第三章 研究設計 603.1研究假說和研究模式 603.11 研究假說 603.12 研究模式 633.2 實驗設計 733.3模擬模式 79第四章 結果和分析 834.1交易策略的演進 834.2 元件電子市集突現 854.2.1 基本模式 854.2.2 記憶模式 864.2.3 信任模式 904.3目錄型電子市集演變(信任模式) 934.4忠誠目錄型電子市集演變(信任模式) 97第五章 結論與建議 1045.1 結論 1045.2 建議 1095.3 研究限制與未來研究方向 110參考文獻 112附錄一：電子市集突現模擬流程圖 120附錄二：DCR MATCH ALGORITHM 121附錄三：博士班期間著作 123圖 目 錄圖 1研究流程示意圖 6圖 2 交配運算 24圖 3軟體元件統治結構突現 38圖 4以GP parse tree表示謹慎型的交易策略（偏好度函數） 44圖 5 規模效率 或 學習效率 46圖 6 信任程度(基本模式) 47圖 7信任程度(記憶模式)或(信任模式，高信任型) 50圖 8信任程度，不滿意基本信任下降為0(信任模式，低信任型) 51圖 9信任程度，不滿意隨連續不滿意次數增加而遞減 52圖 10軟體元件電子市集突現模式 53圖 11軟體元件電子市集統治突現和演變命題 59圖 12軟體元件電子市集突現模式與假說 60圖 13市集關係圖(陰影部分代表目錄型市集，外框代表整體市集)……. 63圖 14信任程度(基本模式) 84圖 15謹慎型和權變型交易策略類型在電子市集突現中消長比例 84圖 16基本模式下元件電子市集突現(元件功能特殊性為0.15, 0.55, 0.95) 85圖 17高信任型 (1≧信任≧0.3) 89圖 18在記憶模式下，三種滿意型電子市集突現(1≧信任≧0.3) 91圖 19低信任型，不滿意基本信任下降為0 (1≧信任≧0) 91圖 20不信任型，不滿意隨連續不滿意次數增加而遞減 92圖 21不同信任程度對電子市集突現影響 92圖 22不同信任程度對目錄型市集演變影響 95圖 23目錄型市集和交換型市集差異(1≧信任≧0.3) 95圖 24目錄型市集和交換型市集差異(1≧信任≧0) 96圖 25目錄型市集和交換型市集差異(1≧信任≧-1) 96圖 26不同信任程度對忠誠目錄型市集演變影響 99圖 27忠誠目錄型市集和一般目錄型市集差異(1≧信任≧0.3) 99圖 28忠誠目錄型市集和一般目錄型市集差異(1≧信任≧0) 100圖 29忠誠目錄型市集和一般目錄型市集差異(1≧信任≧-1) 100圖 30整體市集、目錄型與忠誠目錄型市集演變差異(1≧信任≧0.3) 102圖 31整體市集、目錄型與忠誠目錄型市集演變差異(1≧信任≧0) 102圖 32整體市集、目錄型與忠誠目錄型市集演變差異(1≧信任≧-1) 103表 目 錄表 1軟體或元件交易統治結構類型 13表 2 軟體元件電子市集之屬性 15表 3 代理人基礎計算經濟和傳統解析模式性質比較 21表 4 遺傳規劃法和加強學習法的比較 26表 5 軟體元件統治結構突現的原因（利潤因素） 32表 6 軟體元件統治結構突現的原因（人性因素） 35表 7 軟體元件的統治結構和資訊系統形式 40表 8 GP實驗參數 76表 9 供需雙方參數 77表 10軟體元件電子市集突現模擬模式之虛擬碼 79表 11 MatchTrader() 的虛擬碼 80表 12 EvolveGen() 的虛擬碼 81 | zh_TW |
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| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0086356502 | en_US |
| dc.subject (關鍵詞) | 軟體元件電子市集 | zh_TW |
| dc.subject (關鍵詞) | 交易成本 | zh_TW |
| dc.subject (關鍵詞) | 遺傳規劃法 | zh_TW |
| dc.subject (關鍵詞) | 代理人基礎計算經濟 | zh_TW |
| dc.subject (關鍵詞) | 信任 | zh_TW |
| dc.subject (關鍵詞) | 突現 | en_US |
| dc.title (題名) | 軟體元件電子市集突現：以代理人為基礎之計算經濟研究途徑 | zh_TW |
| dc.title (題名) | The Emergence of Software Component Electronic Marketplaces: Through An Agent-based Computing Economics Approach | en_US |
| dc.type (資料類型) | thesis | en |
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