参考书目 发表于 2025-3-26 21:15:44
Agent-Mining Interaction: An Emerging Areaed aspects are addressed. The above investigation shows that the agent-mining interaction is attracting everincreasing attention from both agent and data mining communities. Some complicated challenges in either community may be effectively and efficiently tackled through agent-mining interaction. Htemperate 发表于 2025-3-27 04:13:57
http://reply.papertrans.cn/17/1668/166779/166779_32.pngMeander 发表于 2025-3-27 08:52:38
http://reply.papertrans.cn/17/1668/166779/166779_33.png小虫 发表于 2025-3-27 09:34:23
http://reply.papertrans.cn/17/1668/166779/166779_34.pngSTENT 发表于 2025-3-27 15:40:40
Virtual Markets: ,-Learning Sellers with Simple State Representationimize cumulative profits under conditions of high competition in three moderately realistic economic models. It was also shown that due to their flexibility Q-learning sellers managed to collect more profit than pricebots based on two other generally used approaches even though one of them possessedlicence 发表于 2025-3-27 19:19:36
http://reply.papertrans.cn/17/1668/166779/166779_36.png围裙 发表于 2025-3-28 00:48:38
Matthias Barkowsky,Holger Giesetruders, and learn to collaborate effectively. In this talk, I will summarize some of our research results on trust-based computing, negotiation, and learning that will enable intelligent agents to develop and sustain robust, adaptive, and successful agent communities.bibliophile 发表于 2025-3-28 05:55:10
http://reply.papertrans.cn/17/1668/166779/166779_38.pngGlaci冰 发表于 2025-3-28 09:01:58
http://reply.papertrans.cn/17/1668/166779/166779_39.png责问 发表于 2025-3-28 13:26:41
Christina Jansen,Florian Göbe,Thomas Noll (reusable) architecture of the intelligent sensor agents as well as typical protocols supporting interaction of sensors with other software components of agent-based network intended for distributed learning and classification. The main solutions proposed in the paper are demonstrated via prototypi