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於平台實作上,本研究採用線上編譯器Remix Browser–Solidity,以及 錢包軟體MetaMask,使用程式語言 Solidity 於乙太坊(ethereum)上的 Ropsten Test Network 的測試鏈上來進行「發行」智能合約、「兌換」智能合約、「紅 利」智能合約、「加盟」智能合約以及「續約確認」智能合約的佈署。

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下,在此企業積分聯盟當中,首先所有的節點,即所有的企業以及顧客,都可 以成為未來智能合約與 AI 領域結合的運算基礎,即是透過分散式的節點的機器 設備的算力來提供機器學習,以此來解決 AI 需要算力的難題。爾後,在此企業 積分聯盟當中,因區塊鏈技術的交易透明的特性之下,大量的交易數據將可以 成為未來智能合約與 AI 領域結合的訓練資料。

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國立政治大學, 未出版之博(碩)士論文.