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Titlebook: Agent and Multi-Agent Systems: Technologies and Applications; 5th KES Internationa James O’Shea,Ngoc Thanh Nguyen,Lakhmi C. Jain Conference

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11#
發(fā)表于 2025-3-23 10:40:00 | 只看該作者
Computational Aspects of Cooperative Game Theory, and in particular the key solution concepts: the core and the Shapley value. We then introduce the key issues that arise if one is to consider the cooperative games in a computational setting: in particular, the issue of representing games, and the computational complexity of cooperative solution concepts.
12#
發(fā)表于 2025-3-23 15:41:20 | 只看該作者
Conference proceedings 2011and text processing; agents and online social networks; robotics and manufacturing; agent optimisation; negotiation and security; multi-agent systems; mining and profiling; agent-based optimization; doctoral track; computer-supported social intelligence for human interaction; digital economy; and intelligent workflow, cloud computing and systems.
13#
發(fā)表于 2025-3-23 21:01:23 | 只看該作者
https://doi.org/10.1007/978-3-031-44807-2gives a more detailed description of some example machine learning models and solutions where the asynchronous team of agents paradigm has been implemented to support the machine learning methods and which have been developed by the author and his research group.
14#
發(fā)表于 2025-3-23 22:33:07 | 只看該作者
15#
發(fā)表于 2025-3-24 02:43:27 | 只看該作者
16#
發(fā)表于 2025-3-24 09:04:46 | 只看該作者
https://doi.org/10.1007/0-387-34189-7e and number of operators on the market. Using multiagent simulation we show that (a) network structure and number of operators significantly influence induced churn level and (b) weighted prestige is its important predictor.
17#
發(fā)表于 2025-3-24 12:38:34 | 只看該作者
18#
發(fā)表于 2025-3-24 15:50:02 | 只看該作者
19#
發(fā)表于 2025-3-24 22:07:44 | 只看該作者
Multi Agent System for Historical Information Retrieval from Online Social Networks Network Retrieval System (OSNRS) is proposed. Our experimental work shows that using MAS simplifies the process of tracking profile’s history and opens the opportunity of understanding the dynamic behavior of OSN users especially when it is combined with text mining.
20#
發(fā)表于 2025-3-25 03:03:26 | 只看該作者
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