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

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發(fā)表于 2025-3-21 16:39:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Conflict Resolution in Decision Making
副標(biāo)題Second International
編輯Reyhan Aydo?an,Tim Baarslag,Victor Sanchez-Anguix
視頻videohttp://file.papertrans.cn/236/235328/235328.mp4
概述Includes supplementary material: .Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Conflict Resolution in Decision Making; Second International Reyhan Aydo?an,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
關(guān)鍵詞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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The Role of Execution Errors in Populations of Ultimatum Bargaining Agents,wer Responders and become the source of individual and collective long-term success, leading to a fairer distribution of gains. This conclusion remains valid for a wide range of selection pressures, population sizes and mutation rates.
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Incremental Computation of Grounded Semantics for Dynamic Abstract Argumentation Frameworks,the 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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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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