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

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發(fā)表于 2025-3-21 19:53:53 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Distributed Artificial Intelligence
副標題Third International
編輯Jie Chen,Jér?me Lang,Dengji Zhao
視頻videohttp://file.papertrans.cn/282/281742/281742.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Distributed Artificial Intelligence; Third International  Jie Chen,Jér?me 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
關鍵詞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

書目名稱Distributed Artificial Intelligence影響因子(影響力)




書目名稱Distributed Artificial Intelligence影響因子(影響力)學科排名




書目名稱Distributed Artificial Intelligence網絡公開度




書目名稱Distributed Artificial Intelligence網絡公開度學科排名




書目名稱Distributed Artificial Intelligence被引頻次




書目名稱Distributed Artificial Intelligence被引頻次學科排名




書目名稱Distributed Artificial Intelligence年度引用




書目名稱Distributed Artificial Intelligence年度引用學科排名




書目名稱Distributed Artificial Intelligence讀者反饋




書目名稱Distributed Artificial Intelligence讀者反饋學科排名




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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
地板
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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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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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,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
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