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On Computing Explanations in Argumentation

Xiuyi Fan, Francesca Toni

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, Pages: 1496 - 1502

Swansea University Author: Xiuyi Fan

Published in: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence
ISBN: 978-1-57735-698-1
Published: Austin, Texas, USA Twenty-Ninth AAAI Conference on Artificial Intelligence 2015
Online Access: https://dl.acm.org/doi/10.5555/2886521.2886528
URI: https://cronfa.swan.ac.uk/Record/cronfa39401
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2020-07-23T14:29:05.1546106</datestamp><bib-version>v2</bib-version><id>39401</id><entry>2018-04-13</entry><title>On Computing Explanations in Argumentation</title><swanseaauthors><author><sid>a88a07c43b3e80f27cb96897d1bc2534</sid><firstname>Xiuyi</firstname><surname>Fan</surname><name>Xiuyi Fan</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2018-04-13</date><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence</journal><paginationStart>1496</paginationStart><paginationEnd>1502</paginationEnd><publisher>Twenty-Ninth AAAI Conference on Artificial Intelligence</publisher><placeOfPublication>Austin, Texas, USA</placeOfPublication><isbnPrint>978-1-57735-698-1</isbnPrint><keywords/><publishedDay>25</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2015</publishedYear><publishedDate>2015-01-25</publishedDate><doi/><url>https://dl.acm.org/doi/10.5555/2886521.2886528</url><notes>*Originality:*In this work, we propose a new argumentation semantics, related admissibility, designed for giving explanations to arguments in both Abstract Argumentation and Assumption-based Argumentation. For both frameworks, we give a correct computational counterpart for explanations using dispute forests.*Significance:*One of the most prominent promises of using argumentation as a modelling tool lies in its ability of explaining the process and results of computation. Yet, until this paper, there was no attempt on formally treating explanation as a computational concept - argumentation semantics. Such interpretation is important as it enables the use of computation technique towards understanding an intrinsically philosophical concept. The presented model formulates philosophical questions into computational ones, which can be solved with well-developed techniques.*Rigor:*All results are shown with full proofs. This paper is published in the AAAI conference, a top conference in artificial intelligence.</notes><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-07-23T14:29:05.1546106</lastEdited><Created>2018-04-13T15:36:41.8628824</Created><authors><author><firstname>Xiuyi</firstname><surname>Fan</surname><order>1</order></author><author><firstname>Francesca</firstname><surname>Toni</surname><order>2</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2020-07-23T14:29:05.1546106 v2 39401 2018-04-13 On Computing Explanations in Argumentation a88a07c43b3e80f27cb96897d1bc2534 Xiuyi Fan Xiuyi Fan true false 2018-04-13 Conference Paper/Proceeding/Abstract Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence 1496 1502 Twenty-Ninth AAAI Conference on Artificial Intelligence Austin, Texas, USA 978-1-57735-698-1 25 1 2015 2015-01-25 https://dl.acm.org/doi/10.5555/2886521.2886528 *Originality:*In this work, we propose a new argumentation semantics, related admissibility, designed for giving explanations to arguments in both Abstract Argumentation and Assumption-based Argumentation. For both frameworks, we give a correct computational counterpart for explanations using dispute forests.*Significance:*One of the most prominent promises of using argumentation as a modelling tool lies in its ability of explaining the process and results of computation. Yet, until this paper, there was no attempt on formally treating explanation as a computational concept - argumentation semantics. Such interpretation is important as it enables the use of computation technique towards understanding an intrinsically philosophical concept. The presented model formulates philosophical questions into computational ones, which can be solved with well-developed techniques.*Rigor:*All results are shown with full proofs. This paper is published in the AAAI conference, a top conference in artificial intelligence. COLLEGE NANME COLLEGE CODE Swansea University 2020-07-23T14:29:05.1546106 2018-04-13T15:36:41.8628824 Xiuyi Fan 1 Francesca Toni 2
title On Computing Explanations in Argumentation
spellingShingle On Computing Explanations in Argumentation
Xiuyi Fan
title_short On Computing Explanations in Argumentation
title_full On Computing Explanations in Argumentation
title_fullStr On Computing Explanations in Argumentation
title_full_unstemmed On Computing Explanations in Argumentation
title_sort On Computing Explanations in Argumentation
author_id_str_mv a88a07c43b3e80f27cb96897d1bc2534
author_id_fullname_str_mv a88a07c43b3e80f27cb96897d1bc2534_***_Xiuyi Fan
author Xiuyi Fan
author2 Xiuyi Fan
Francesca Toni
format Conference Paper/Proceeding/Abstract
container_title Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence
container_start_page 1496
publishDate 2015
institution Swansea University
isbn 978-1-57735-698-1
publisher Twenty-Ninth AAAI Conference on Artificial Intelligence
url https://dl.acm.org/doi/10.5555/2886521.2886528
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published_date 2015-01-25T03:52:37Z
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