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

Traction

書(shū)目名稱(chēng)Distributed Artificial Intelligence影響因子(影響力)




書(shū)目名稱(chēng)Distributed Artificial Intelligence影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Distributed Artificial Intelligence網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Distributed Artificial Intelligence網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Distributed Artificial Intelligence被引頻次




書(shū)目名稱(chēng)Distributed Artificial Intelligence被引頻次學(xué)科排名




書(shū)目名稱(chēng)Distributed Artificial Intelligence年度引用




書(shū)目名稱(chēng)Distributed Artificial Intelligence年度引用學(xué)科排名




書(shū)目名稱(chēng)Distributed Artificial Intelligence讀者反饋




書(shū)目名稱(chēng)Distributed Artificial Intelligence讀者反饋學(xué)科排名

Adenoma

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

引水渠

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

Blatant

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.

Neonatal

熱心助人

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.

熱心助人

河流

惡臭

,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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