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Extracting Argumentative Dialogues from the Neural Network that Computes the Dungean Argumentation Semantics

http://hdl.handle.net/10191/25929
http://hdl.handle.net/10191/25929
77b1cdc8-a9ac-4831-aacd-595195e7e92c
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7_28-33.pdf 7_28-33.pdf (320.1 kB)
Item type 会議発表論文 / Conference Paper(1)
公開日 2014-02-28
タイトル
タイトル Extracting Argumentative Dialogues from the Neural Network that Computes the Dungean Argumentation Semantics
タイトル
タイトル Extracting Argumentative Dialogues from the Neural Network that Computes the Dungean Argumentation Semantics
言語 en
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言語 eng
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資源 http://purl.org/coar/resource_type/c_5794
タイプ conference paper
著者 Gotou, Yoshiaki

× Gotou, Yoshiaki

WEKO 168696

Gotou, Yoshiaki

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Hagiwara, Takeshi

× Hagiwara, Takeshi

WEKO 168697

Hagiwara, Takeshi

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Sawamura, Hajime

× Sawamura, Hajime

WEKO 168698

Sawamura, Hajime

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内容記述タイプ Abstract
内容記述 Argumentation is a leading principle both foundationally and functionally for agent-oriented computing where reasoning accompanied by communication plays an essential role in agent interaction. We constructed a simple but versatile neural network for neural network argumentation, so that it can decide which argumentation semantics (admissible, stable, semistable, preferred, complete, and grounded semantics) a given set of arguments falls into, and compute argumentation semantics via checking. In this paper, we are concerned with the opposite direction from neural network computation to symbolic argumentation/dialogue. We deal with the question how various argumentation semantics can have dialectical proof theories, and describe a possible answer to it by extracting or generating symbolic dialogues from the neural network computation under various argumentation semantics.
書誌情報 7th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy'11)
en : 7th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy'11)

巻 7, p. 28-33, 発行日 2011-07
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Gotou, Yoshiaki, Hagiwara, Takeshi, Sawamura, Hajime, 2011, Extracting Argumentative Dialogues from the Neural Network that Computes the Dungean Argumentation Semantics: 28–33 p.

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