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Titlebook: Distributed Artificial Intelligence; Third International Jie Chen,Jérôme Lang,Dengji Zhao Conference proceedings 2022 Springer Nature Swit

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发表于 2025-3-21 19:53:53 | 显示全部楼层 |阅读模式
书目名称Distributed Artificial Intelligence
副标题Third International
编辑Jie Chen,Jérôme Lang,Dengji Zhao
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Distributed Artificial Intelligence; Third International  Jie Chen,Jérôme Lang,Dengji Zhao Conference proceedings 2022 Springer Nature Swit
描述This book constitutes the refereed proceedings of the Third International Conference on Distributed Artificial Intelligence, DAI 2021, held in Shanghai, China, in December 2021..The 15 full papers presented in this book were carefully reviewed and selected from 31 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI..
出版日期Conference proceedings 2022
关键词artificial intelligence; autonomous agents; computer networks; computer science; computer systems; educat
版次1
doihttps://doi.org/10.1007/978-3-030-94662-3
isbn_softcover978-3-030-94661-6
isbn_ebook978-3-030-94662-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

书目名称Distributed Artificial Intelligence影响因子(影响力)




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书目名称Distributed Artificial Intelligence网络公开度




书目名称Distributed Artificial Intelligence网络公开度学科排名




书目名称Distributed Artificial Intelligence被引频次




书目名称Distributed Artificial Intelligence被引频次学科排名




书目名称Distributed Artificial Intelligence年度引用




书目名称Distributed Artificial Intelligence年度引用学科排名




书目名称Distributed Artificial Intelligence读者反馈




书目名称Distributed Artificial Intelligence读者反馈学科排名




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发表于 2025-3-21 21:21:41 | 显示全部楼层
Frederick Steiner,Gerald Young,Ervin Zubeing of value function. Through quantifying the uncertainty of state-action value estimation, we selectively erase the entries of highly uncertain values in state-action value matrix and conduct low-rank matrix reconstruction for them to recover their values. Such a reconstruction exploits the underl
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https://doi.org/10.1007/978-3-030-02786-5 unique characteristics of each agent. Besides, to overcome the consistent agent problem of NCC, a split loss is introduced to distinguish different agents and reduce the number of groups. Results reveal that the proposed method makes excellent coordination and achieves a significant improvement in
发表于 2025-3-22 04:34:18 | 显示全部楼层
Júnia Schultz,Alexandre Soares Rosadorantees when used by SyncBB when elicitations are free. Our model and heuristics thus extend the state-of-the-art in distributed constraint reasoning to better model and solve distributed agent-based applications with user preferences.
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发表于 2025-3-22 15:25:06 | 显示全部楼层
Frank C. Bellrose,Nannette M. Trudeaur, build trust, and thwarting the competition. We present analysis from in-house comparative evaluation of FUN-Agent against three well-known agent negotiators: Boulware, Conceder, and Linear Conceder.
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发表于 2025-3-23 05:13:48 | 显示全部楼层
,BGC: Multi-agent Group Belief with Graph Clustering, unique characteristics of each agent. Besides, to overcome the consistent agent problem of NCC, a split loss is introduced to distinguish different agents and reduce the number of groups. Results reveal that the proposed method makes excellent coordination and achieves a significant improvement in
发表于 2025-3-23 06:38:31 | 显示全部楼层
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