臺灣博碩士論文加值系統

協商過程中，賣家不會主動告知其偏好，買家一般會利用猜測或是透過經驗來得知，假如買家之前沒有跟此賣家有過交易經驗，幾乎很難得知此賣家的偏好。本論文利用案例式推理，根據買家對於協商屬性的偏好，幫買家挑出一個適合的賣家進行協商，並告知使用者挑選此賣家的原因。協商過程是採取多屬性協商的方式進行，雙方以回合式的方式進行，一方提出條件給另一方，另一方則分析是否接受此條件，或是提出新條件給對方。當協商過程結束後，系統分析此協商經驗是否需要被保留下來或是修改過去的經驗，這些經驗將可以提供給其他買家使用。

In the course of negotiation, sellers would not spontaneously inform buyers of their preferences. Buyers, generally speaking, know their sellers’ preferences through their conjectures or experiences. If the buyers did not have any business transaction experience with the sellers before, it is usually difficult to know the sellers’ preferences. A case-based reasoning method is adopted in this thesis to help buyers, in accordance with their preferences of negotiation, pick up appropriate sellers for a business negotiation and meanwhile, inform users of the reasons for choosing such buyers. A multi-attribute method is implemented in the process of negotiation. Both parties negotiate on a “multi-rounds” basis. At the end of the negotiation, such a negotiation experience will be systematically analyzed to see whether or not it should be kept or a past experience should be modified. These experiences can further be provided to other buyers for use.

第一章 緒論 1
第二章 研究背景與相關研究 3
2.1 軟體代理人相關理論 3
2.1.1 軟體代理人定義 3
2.1.2 多重代理人系統 4
2.2 協商相關理論 4
2.2.1 協商的定義 4
2.2.2 協商的分類 5
2.3 多重代理人協商系統 6
2.3.1 多重代理人協商系統 6
2.3.2 協商系統考慮的因素 9
2.4 多重代理人協商系統比較 11
第三章 研究方法 13
3.1 案例式推理(Case-Based Reasoning, CBR)簡介 13
3.2 案例表達 14
3.3 案例擷取 16
3.4 對手偏好的學習方法 20
3.5 案例維護 22
3.6 協商流程 23
第四章 實作與測試 29
4.1 系統架構 29
4.2 分析與設計 31
4.2.1 系統執行流程 31
4.2.2 系統Class Diagram 33
4.3 實驗劇本與實驗結果 34
4.3.1 劇本一 35
4.3.2 劇本二 39
4.3.3 結果分析 42
4.4 系統比較 43
第五章 結論 45
參考文獻 46
附錄Ａ 案例式推理 49

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