人工智慧(artificial intelligence, AI)目前廣泛的運用於許多領域。本研究係應用案例推理(case-based reasoning, CBR)配合專家系統（expert systems, ES）以解決犯罪偵查上的問題。案例推理亦是一種知識系統的應用。藉由建立一個特定領域的犯罪資料庫，將該項犯罪領域的犯罪手法，行為模式與以搜集，儲存與分類。案例推理符合了KBS許多需求，可以成功的使用在KBS系統中。透過案例推理的方法，將有助於提升犯罪偵查能力。
本研究就針對海域執法中的非法偷渡議題作為案例，應用案例推理方法，將偷渡犯罪的模式與以分類及分析，以建立一套運用於偷渡犯罪的犯罪偵查系統(crime investigation system, CIS)以便縮小偵查範圍。配合案例推理系統所推理出來的結果輔以專家的推判，當偵查人員透過使用者介面輸入相關資訊後，此系統會依內建決策規則，進一步產生犯罪偵查勤務規劃給偵查人員，故能夠對犯罪偵查案件提供快速且有效精確的諮詢，使得偵查人員能夠及早掌握犯罪現場及犯罪者的整體樣態而有助於破案。因此，本研究係利用案例推理輔以專家系統來提升犯罪偵查能力，以期能維護社會治安，消弭犯罪。
Artificial intelligence (AI) has been widely used in many areas. This research tries to exploit some AI techniques such as case-based reasoning (CBR) and expert systems to solve problems in coast guard crime investigation.
CBR is derived from machine learning - a subfield of AI, and can be used to de-velop a knowledge-based systems (KBS). In this research, CBR is used to develop the case analysis and judgment subsystem. In the subsystem, a case base that gathers, stores, and classifies historical cases related to coast guard crime investigation. Via the case base, the investigator can compare the current case with past cases in the case base to find out the most similar cases. Then, through analyzing these similar cases and revising the already known outcomes, the range of investigation can be signifi-cantly reduced and hence increase the investigator’s problem solving ability.
Expert systems are used to further generate crime investigation operating plan based on the analytical results of CBR. This crime investigation operating plan pro-vides necessary information and suggestions for the investigator to accomplish a spe-cific crime investigation task. This research also applies computer-assisted instruction (CAI) to build a training subsystem that provides information and theories about crime investigation to assist and educate investigators.
