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Titlebook: Autonomous Intelligent Systems: Multi-Agents and Data Mining; Second International Vladimir Gorodetsky,Chengqi Zhang,Longbing Cao Conferenc

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樓主: Lactase
31#
發(fā)表于 2025-3-26 21:15:44 | 只看該作者
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. H
32#
發(fā)表于 2025-3-27 04:13:57 | 只看該作者
33#
發(fā)表于 2025-3-27 08:52:38 | 只看該作者
34#
發(fā)表于 2025-3-27 09:34:23 | 只看該作者
35#
發(fā)表于 2025-3-27 15:40:40 | 只看該作者
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 possessed
36#
發(fā)表于 2025-3-27 19:19:36 | 只看該作者
37#
發(fā)表于 2025-3-28 00:48:38 | 只看該作者
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.
38#
發(fā)表于 2025-3-28 05:55:10 | 只看該作者
39#
發(fā)表于 2025-3-28 09:01:58 | 只看該作者
40#
發(fā)表于 2025-3-28 13:26:41 | 只看該作者
Christina Jansen,Florian G?be,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
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