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  1.  1
    Hiroki Matsui & Satoshi Tojo (2005). Analysis of Foreign Exchange Interventions by Intervention Agent with an Artificial Market Approach. Transactions of the Japanese Society for Artificial Intelligence 20:36-45.
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  2.  7
    Satoshi Tojo & Katsumi Nitta (1997). Similarity of Legal Cases: From Temporal Relations of Affairs. [REVIEW] 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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  3.  18
    Satoshi Tojo (1999). Event, State, and Process in Arrow Logic. Minds and Machines 9 (1):81-103.
    Artificial agents, which are embedded in a virtual world, need to interpret a sequence of commands given to them adequately, considering the temporal structure for each command. In this paper, we start with the semantics of natural language and classify the temporal structures of various eventualities into such aspectual classes as action, process, and event. In order to formalize these temporal structures, we adopt Arrow Logic. This logic specifies the domain for the valuation of a sentence as an arrow. We (...)
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  4.  2
    Katsuhiko Sano & Satoshi Tojo (2013). Dynamic Epistemic Logic for Channel-Based Agent Communication. In Kamal Lodaya (ed.), Logic and its Applications. Springer 109--120.
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  5. Shingo Hagiwara & Satoshi Tojo (2009). Verification of Legal Knowledge-Base with Conflictive Concept. Transactions of the Japanese Society for Artificial Intelligence 24:405-416.
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  6. Mikito Kobayashi & Satoshi Tojo (2009). Agent Communication for Dynamic Belief Update. Transactions of the Japanese Society for Artificial Intelligence 24:314-321.
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  7. Yuichi Nagata, Shigenobu Kobayashi & Satoshi Tojo (2010). Efficient Local Search Limitation Strategies in Memetic Algorithm. Transactions of the Japanese Society for Artificial Intelligence 25:299-310.
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  8. Katsumi Nitta, Ken Satoh & Satoshi Tojo (2008). First International Workshop on Juris-Informatics. In Satoh (ed.), New Frontiers in Artificial Intelligence. Springer 347--348.
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  9. Katsumi Nitta, Ken Satoh & Satoshi Tojo (2009). Overview of JURISIN 2008. In Hattori (ed.), New Frontiers in Artificial Intelligence. Springer 211--212.
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  10. Yoshitaka Suzuki & Satoshi Tojo (2004). Fusion of Pedigreed Preferential Relations as Beliefs. Transactions of the Japanese Society for Artificial Intelligence 19:57-67.
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  11. Suguru Yoshioka & Satoshi Tojo (2006). Many-Dimensional Modal Logic of Tense and Temporal Interval and its Decidability. Transactions of the Japanese Society for Artificial Intelligence 21:257-265.
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