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Conference Paper/Proceeding/Abstract 850 views

Dialogical two-agent decision making with assumption-based argumentation

Xiuyi Fan, Francesca Toni, Andrei Mocanu, Matthew Williams

Pages: 533 - 540

Swansea University Author: Xiuyi Fan

ISBN: 978-1-4503-2738-1
Published: Paris, France International conference on Autonomous Agents and Multi-Agent Systems 2014
URI: https://cronfa.swan.ac.uk/Record/cronfa39406
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last_indexed 2020-06-23T18:52:13Z
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2020-06-23T14:58:45.3460526</datestamp><bib-version>v2</bib-version><id>39406</id><entry>2018-04-13</entry><title>Dialogical two-agent decision making with assumption-based 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/><paginationStart>533</paginationStart><paginationEnd>540</paginationEnd><publisher>International conference on Autonomous Agents and Multi-Agent Systems</publisher><placeOfPublication>Paris, France</placeOfPublication><isbnPrint>978-1-4503-2738-1</isbnPrint><keywords/><publishedDay>5</publishedDay><publishedMonth>5</publishedMonth><publishedYear>2014</publishedYear><publishedDate>2014-05-05</publishedDate><doi/><url/><notes>*Originality:*This work gives the first comprehensive study on argumentation-based multi-agent decision making. Using an existing argumentation-based dialogue framework, we show how two agents can argue towards &#x201C;good&#x201D; decisions in a distributed manner. This work connects decision making with multi-agent argumentation and dialogues.*Significance:*Decision making usually asks for the ability of analyzing incomplete and potentially conflicting information, which is commonly perceived as a unique strength of argumentation. Yet, until this paper, little work has been done in developing and utilizing this argumentation strength in a multi-agent setting, where the problem of multi-agent decision making is more important and challenging. This work gives systemic treatment to this problem with both theoretical results and a medical decision-making case study presented.*Rigor:*We prove a formal connection between distributed decision making and well-known argumentation semantics. All results are shown with full proofs. This paper is published in the AAMAS conference, a top conference in artificial intelligence.</notes><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-06-23T14:58:45.3460526</lastEdited><Created>2018-04-13T15:51:23.2470766</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Xiuyi</firstname><surname>Fan</surname><order>1</order></author><author><firstname>Francesca</firstname><surname>Toni</surname><order>2</order></author><author><firstname>Andrei</firstname><surname>Mocanu</surname><order>3</order></author><author><firstname>Matthew</firstname><surname>Williams</surname><order>4</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2020-06-23T14:58:45.3460526 v2 39406 2018-04-13 Dialogical two-agent decision making with assumption-based argumentation a88a07c43b3e80f27cb96897d1bc2534 Xiuyi Fan Xiuyi Fan true false 2018-04-13 Conference Paper/Proceeding/Abstract 533 540 International conference on Autonomous Agents and Multi-Agent Systems Paris, France 978-1-4503-2738-1 5 5 2014 2014-05-05 *Originality:*This work gives the first comprehensive study on argumentation-based multi-agent decision making. Using an existing argumentation-based dialogue framework, we show how two agents can argue towards “good” decisions in a distributed manner. This work connects decision making with multi-agent argumentation and dialogues.*Significance:*Decision making usually asks for the ability of analyzing incomplete and potentially conflicting information, which is commonly perceived as a unique strength of argumentation. Yet, until this paper, little work has been done in developing and utilizing this argumentation strength in a multi-agent setting, where the problem of multi-agent decision making is more important and challenging. This work gives systemic treatment to this problem with both theoretical results and a medical decision-making case study presented.*Rigor:*We prove a formal connection between distributed decision making and well-known argumentation semantics. All results are shown with full proofs. This paper is published in the AAMAS conference, a top conference in artificial intelligence. COLLEGE NANME COLLEGE CODE Swansea University 2020-06-23T14:58:45.3460526 2018-04-13T15:51:23.2470766 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Xiuyi Fan 1 Francesca Toni 2 Andrei Mocanu 3 Matthew Williams 4
title Dialogical two-agent decision making with assumption-based argumentation
spellingShingle Dialogical two-agent decision making with assumption-based argumentation
Xiuyi Fan
title_short Dialogical two-agent decision making with assumption-based argumentation
title_full Dialogical two-agent decision making with assumption-based argumentation
title_fullStr Dialogical two-agent decision making with assumption-based argumentation
title_full_unstemmed Dialogical two-agent decision making with assumption-based argumentation
title_sort Dialogical two-agent decision making with assumption-based argumentation
author_id_str_mv a88a07c43b3e80f27cb96897d1bc2534
author_id_fullname_str_mv a88a07c43b3e80f27cb96897d1bc2534_***_Xiuyi Fan
author Xiuyi Fan
author2 Xiuyi Fan
Francesca Toni
Andrei Mocanu
Matthew Williams
format Conference Paper/Proceeding/Abstract
container_start_page 533
publishDate 2014
institution Swansea University
isbn 978-1-4503-2738-1
publisher International conference on Autonomous Agents and Multi-Agent Systems
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 2014-05-05T03:50:03Z
_version_ 1763752440748834816
score 11.01753

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