持続可能な国際安全保障協力のためのフォールトツリー分析適合知識構造化:ケーススタディ
Yudai Wada1, Koki Ijuin1, Chiaki Oshiyama1
1School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, Japan.
Frontiers in artificial intelligence
|February 23, 2026
まとめ
本研究では、日本の国際安全保障協力における持続可能な知識移転を改善するための知識工学手法を提案し、専門知識を機械解釈可能なグラフに外部化することで、継続性を高め、人員交代時の知識損失を削減します。
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