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Titlebook: Conflict Resolution in Decision Making; Second International Reyhan Aydoğan,Tim Baarslag,Victor Sanchez-Anguix Conference proceedings 2017

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发表于 2025-3-21 16:39:02 | 显示全部楼层 |阅读模式
书目名称Conflict Resolution in Decision Making
副标题Second International
编辑Reyhan Aydoğan,Tim Baarslag,Victor Sanchez-Anguix
视频video
概述Includes supplementary material: .Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Conflict Resolution in Decision Making; Second International Reyhan Aydoğan,Tim Baarslag,Victor Sanchez-Anguix Conference proceedings 2017
描述This book constitutes thoroughly revised selected papers of the Second International Workshop on Conflict and Resolution in Decision Makrung, COREDEMA 2016, held in The Hague, The Netherlands, in August 2016. The 9 revised paperspresented were carefully reviewed and selected from 13 submissions..The 2nd International Workshop on Conflict Resolution in Decision Making (COREDEMA 2016) focuses on theoretical and practical computational approaches for solving and understanding conflict resolution..
出版日期Conference proceedings 2017
关键词artificial intelligence; automated negotiation; group decision support; multi-agent systems; software me
版次1
doihttps://doi.org/10.1007/978-3-319-57285-7
isbn_softcover978-3-319-57284-0
isbn_ebook978-3-319-57285-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Human-Computer Agent Negotiation Using Cross Culture Reliability Models,chine learning algorithms to predict the extent to which people fulfill agreements. Our methodology based its strategy on a data from different agents that used the same negotiation scenario in different cultures. This methodology used data in three countries: Lebanon, the U.S.A and Israel, in which
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Transformative Marketing Using Blockchain,al finding can be applied in a variety of scenarios such as negotiation teams, multi-party negotiation, and team formation to social recommendation. Additionally, we empirically test the validity and practicality of this proof in a variety of decision making domains and analyze the usability of this
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https://doi.org/10.1007/978-1-4039-8091-5the most popular unique-status semantics (namely, the . semantics) and present an algorithm for its incremental computation, well-suited to dynamic applications where updates to an initial AF are frequently performed to take into account new available knowledge.
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