Abstract
In 2009, the Japanese government adopted the citizen judge system. In this system, three professional judges and six citizen judges listen to the arguments between the prosecutor and the attorney, and decide the judgment through the discussion in deliberation. However the presiding judges have not been trained for moderation sufficiently, so that their skills of moderation affect the performance and quality of the discussion. Therefore, in this paper, we propose a deliberation process support system. The system assists the presiding judge to facilitate the deliberation by some functions. First it visualizes an argument structure graph, representing summary of the arguments between the prosecutor and the attorney. Next it recommends topics which need argument and their order. We propose a novel algorithm to select these topics based on preliminary research. Finally it also recommends speakers who did not have the opportunity to make remarks.
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Sato, T., Okada, S., Nitta, K. (2012). Deliberation Process Support System for Citizen Judge Trial Based on Structure of Factors. In: Okumura, M., Bekki, D., Satoh, K. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2011. Lecture Notes in Computer Science(), vol 7258. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32090-3_14
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DOI: https://doi.org/10.1007/978-3-642-32090-3_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32089-7
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