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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/14218

タイトル: Classification of Precedents by Modeling Tool for Action and Epistemic State: DEMO
著者: Goto, Tetsuji
Tojo, Satoshi
キーワード: Dynamic Epistemic Logic
Action Model
Model Checking
Penal Code
発行日: 2015-08-25
出版者: Springer
誌名: Lecture Notes in Computer Science
巻: 9067
開始ページ: 227
終了ページ: 243
DOI: 10.1007/978-3-662-48119-6_17
抄録: To determine whether the crime is really caused by the defendant, the judge examines the causal relation of each action in the case to an external factorin the Penal Code. In this process, the judgement is greatly influenced by the predictability of results and the awareness about actions. In this paper, we model these predictability or awareness by Dynamic Epistemic Logic (DEL), and thereafter we describe the change of knowledge of the judge by Action Model. For this purpose, we pick up several typical precedents, and classify them from the viewpoints of predictability and awareness. We implement the process of these precedents in the trial on DEMO (Dynamic Epistemic MOdeling) which can specify epistemic models and action models, and we observe the change of the judge’s epistemic states during the trial. Based on this observation, we categorize the outputs of DEMO into several patterns.
Rights: This is the author-created version of Springer, Tetsuji Goto, Satoshi Tojo, Lecture Notes in Computer Science, 9067, 2015, 227-243. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/978-3-662-48119-6_17
URI: http://hdl.handle.net/10119/14218
資料タイプ: author
出現コレクション:b10-1. 雑誌掲載論文 (Journal Articles)

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