NEURAL NETWORKS COMPUTING THE DUNGEAN SEMANTICS OF ARGUMENTATION
Yoshiaki Goto, Takeshi Hagiwara, Hajime Sawamura
2011
Abstract
Argumentation is a leading principle foundationally and functionally for agent-oriented computing where reasoning accompanied by communication plays as essential role in agent interaction. In the work of (Makiguchi and Sawamura, 2007a) (Makiguchi and Sawamura, 2007b), they constructed a simple but versatile neural network for the grounded semantics (the least fixed point semantics) in the Dung’s abstract argumentation framework (Dung, 1995). This paper further develop its theory so that it can decide which argumentation semantics (admissible, stable, complete semantics) a given set of arguments falls into. In doing so, we construct a more simple but versatile neural network that can compute all extensions of the argumentation semantics. The result leads to a neural-symbolic system for argumentation.
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in Harvard Style
Goto Y., Hagiwara T. and Sawamura H. (2011). NEURAL NETWORKS COMPUTING THE DUNGEAN SEMANTICS OF ARGUMENTATION . In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011) ISBN 978-989-8425-84-3, pages 5-14. DOI: 10.5220/0003656600050014
in Bibtex Style
@conference{ncta11,
author={Yoshiaki Goto and Takeshi Hagiwara and Hajime Sawamura},
title={NEURAL NETWORKS COMPUTING THE DUNGEAN SEMANTICS OF ARGUMENTATION},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)},
year={2011},
pages={5-14},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003656600050014},
isbn={978-989-8425-84-3},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)
TI - NEURAL NETWORKS COMPUTING THE DUNGEAN SEMANTICS OF ARGUMENTATION
SN - 978-989-8425-84-3
AU - Goto Y.
AU - Hagiwara T.
AU - Sawamura H.
PY - 2011
SP - 5
EP - 14
DO - 10.5220/0003656600050014