పరిశోధన మరియు అభివృద్ధి జర్నల్

పరిశోధన మరియు అభివృద్ధి జర్నల్
అందరికి ప్రవేశం

ISSN: 2311-3278

నైరూప్య

Research on Computational Logic of Academic Detection System

Hao Jiangfeng*

The problem of academic misconduct has a long history. Today, with the sufficient information exchange and the rapid development of science and technology, the technical difficulty of "plagiarism" or "plagiarism" is decreasing day by day, and the corresponding governance ability of academic misconduct has also been significantly improved. Relying on the progress of computer science and artificial intelligence, the judgment of the similarity of works can be solved by many non-artificial methods. Correspondingly, for the identification of the similarity of works, the range and proficiency of people's grasp of relevant information become the rationality of computer code. Since the "Zhai Tianlin incident", the ministry of education has increased the governance of academic norms, which is reflected in the operational level of algorithm improvements through the academic misconduct inspection system, regular sampling of dissertations, and changes to the similarity requirements for dissertations. The latter two requirements are based on the completeness of the check system, so there is no room for the audience to discuss whether the black box of the algorithm of the system is reasonable. This article intends to start from the perspective of law, combining the computer logic of the duplicate checking system and the reverse engineering of the results to analyze the rationality of its calculation logic.

నిరాకరణ: ఈ సారాంశం కృత్రిమ మేధస్సు సాధనాలను ఉపయోగించి అనువదించబడింది మరియు ఇంకా సమీక్షించబడలేదు లేదా ధృవీకరించబడలేదు.
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