21 found
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  1.  7
    A Similar Disputation Scene Search on An Online Mediation Support System for Education.Takahiro Tanaka, Yoshiaki Yasumura, Daisuke Katagami & Katsumi Nitta - 2005 - Transactions of the Japanese Society for Artificial Intelligence 20:94-104.
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  2.  9
    The Credibility of Posted Information in a Recommender System Based on a Map.Koji Yamamoto, Daisuke Katagami, Katsumi Nitta, Akira Aiba & Hitoshi Kuwata - 2006 - Transactions of the Japanese Society for Artificial Intelligence 21:276-286.
  3.  7
    An Adviser Agent for Mediator Training.Takahiro Tanaka, Daisuke Katagami & Katsumi Nitta - 2006 - Transactions of the Japanese Society for Artificial Intelligence 21:319-329.
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  4.  10
    Relational Analysis of Users' Viewing and Communication Behaviors in a Video-On-Demand Service with Social Networking Functions.Masaru Miyazaki, Hiroshi Fujisawa, Toshio Nakagawa, Shogo Okada & Katsumi Nitta - 2015 - Transactions of the Japanese Society for Artificial Intelligence 30 (2):429-439.
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  5.  10
    Multi User Learning Agent with Clustering.Hidefumi Ohmura, Daisuke Katagami & Katsumi Nitta - 2007 - Transactions of the Japanese Society for Artificial Intelligence 22:621-630.
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  6.  18
    Similarity of Legal Cases: From Temporal Relations of Affairs. [REVIEW]Satoshi Tojo & Katsumi Nitta - 1997 - Artificial Intelligence and Law 5 (1-2):161-176.
    Case-based reasoning has played an important role in legal reasoning systems. As one criteria for similarity of cases, temporal relationsamong affairs in legal cases should be compared. Thus far in many legalreasoning systems, cases have been described as sequences of pointwiseevents, or at best, simple time intervals, and they have been related bypredicates such as before, after, while,and so on. However, such relations may depend on each implementer'spersonal view, and also require much labor to write down by hand. In this (...)
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  7.  9
    Evaluation of Haptic Interaction in Online Negotiation.Chen Meng, Daisuke Katagami & Katsumi Nitta - 2011 - Transactions of the Japanese Society for Artificial Intelligence 26 (5):571-579.
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  8.  8
    Formalizing Reasoning for Compromise Toward Dialectical Conflict Resolution.Hiroyuki Kido, Masahito Kurihara, Katagami Daisuke & Katsumi Nitta - 2010 - Transactions of the Japanese Society for Artificial Intelligence 25:570-578.
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  9.  8
    HAPPicom: Haptic Pad for Impressive Text Communication.Ayano Tamura, Shogo Okada, Takao Nishigaki & Katsumi Nitta - 2015 - Transactions of the Japanese Society for Artificial Intelligence 30 (2):417-428.
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  10.  8
    Support of Wheelchairs Using Pheromone Information with Two Types of Communication Methods.Koji Yamamoto & Katsumi Nitta - 2010 - Transactions of the Japanese Society for Artificial Intelligence 25:442-451.
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  11.  8
    Model Acquisition of 3D Objects Based on Clustering by Agents.Yoshiaki Yasumura, Norio Nakahara & Katsumi Nitta - 2003 - Transactions of the Japanese Society for Artificial Intelligence 18:57-65.
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  12.  7
    Practical Argumentation Semantics for Credulously Justifying Pareto Optimal Defeasible Consequences.Hiroyuki Kido & Katsumi Nitta - 2012 - Transactions of the Japanese Society for Artificial Intelligence 27 (2):52-60.
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  13.  9
    Computing Argumentation Semantics in Answer Set Programming.Toshiko Wakaki & Katsumi Nitta - 2009 - In Hattori (ed.), New Frontiers in Artificial Intelligence. Springer. pp. 254--269.
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  14.  6
    A Support System for Making Presentation Slides.Yoshiaki Yasumura, Masashi Takeichi & Katsumi Nitta - 2003 - Transactions of the Japanese Society for Artificial Intelligence 18 (4):212-220.
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  15.  5
    Prediction of the Fashion-Subject Based on the Link Information on Electronic Bulletin Board.Daisuke Katagami, Ryosuke Ohkubo & Katsumi Nitta - 2006 - Transactions of the Japanese Society for Artificial Intelligence 21:459-472.
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  16.  5
    An Assistant System for Dairy Works Using CBR Based on XML.Yoshiaki Yasumura, Sachiko Suzuki & Katsumi Nitta - 2003 - Transactions of the Japanese Society for Artificial Intelligence 18:183-192.
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  17.  3
    A Legal Negotiatiton Support System Based on A Diagram.Katsumi Nitta, Masato Shibasaki, Yoshiaki Yasumura, Ryuzo Hasegawa, Hiroshi Fujita, Miyuki Koshimura, Katsumi Inoue, Yasuyuki Shirai & Hiroshi Komatsu - 2002 - Transactions of the Japanese Society for Artificial Intelligence 17 (1):32-43.
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  18.  20
    Defeasible Reasoning in Japanese Criminal Jurisprudence.Katsumi Nitta & Masato Shibasaki - 1997 - Artificial Intelligence and Law 5 (1-2):139-159.
    Modeling legal argumentation is one of the most important research in AI and Law, and a lot of models have been proposed. However, most research has not treated value judgement and debate. In this paper, we introduce a legal reasoning model which covers various aspects of legalreasoning such as making argument, selecting argument and debate.Furthermore, we present how criminal law is described and reasoned inthis model.
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  19.  6
    First International Workshop on Juris-Informatics.Katsumi Nitta, Ken Satoh & Satoshi Tojo - 2008 - In Satoh (ed.), New Frontiers in Artificial Intelligence. Springer. pp. 347--348.
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  20.  3
    Integration of Semantic Web Reasoning and Argument-Based Reasoning.Toshiko Wakaki, Hajime Sawamura, Taro Fukumoto, Takanori Mukai & Katsumi Nitta - 2007 - Transactions of the Japanese Society for Artificial Intelligence 22:322-331.
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  21.  4
    Overview of JURISIN 2008.Katsumi Nitta, Ken Satoh & Satoshi Tojo - 2009 - In Hattori (ed.), New Frontiers in Artificial Intelligence. Springer. pp. 211--212.
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