第五章 結論與建議
5.2 未來發展方向
雖然透過一系列的分析方法與程序，可以有效縮短知識規則建構時間，但仍 有許多空間有待努力突破，所以本研究未來方向，將朝著知識自動擷取、知識自 動解析與轉換及推論結果自動回饋並學習…等方向發展，希望能更有效地簡化知 識、知識規則的擷取、分析、轉換、建構與程序，尋求更好的解決之道。
重點課題包括，如圖 52 所示：
y 如何讓專家更簡易的提供知識？希望透過圖形化介面讓學者專家能簡易 描繪自己的知識、經驗與想法並自動轉換成特定格式，即知識自動擷取、
解析與轉換成電腦系統能解讀的機制，如圖 52 1所示。
y 如何直接轉譯成決策系統可以解讀的資料，省卻知識工程師來建構知 識、規則？即知識自動轉換成知識規則的機制，如圖 522所示。
y 結合代理人技術(Agent)，自動學習決策推論的經驗？即每次推論結果等 決策經驗自動累積與學習的機制，如圖 523所示。
圖 52. 智慧型決策支援系統今後發展方向架構圖
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