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Titlebook: Autonomous Dynamic Reconfiguration in Multi-Agent Systems; Improving the Qualit Markus Hannebauer Book 2002 Springer-Verlag Berlin Heidelbe

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樓主: ACID
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發(fā)表于 2025-3-23 11:38:49 | 只看該作者
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發(fā)表于 2025-3-23 17:09:26 | 只看該作者
Visualizing , Using Concept Diagrams this work. Based on the demands of the collaborative problem solving process and AuReCon, we briefly motivate the decision to deploy an off-the-shelf solver for solving internal constraint problems. The constraint problems fed into the solver are dynamically specified using a novel kind of architec
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發(fā)表于 2025-3-24 01:08:46 | 只看該作者
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發(fā)表于 2025-3-24 02:47:59 | 只看該作者
Conference proceedings‘‘‘‘‘‘‘‘ 2021vantages and pitfalls, but mainly its improvement through autonomous dynamic reconfiguration. Autonomous dynamic reconfiguration is a complete technology dealing with two of the most common problems in collaborative problem solving — namely poor problem solving results and low efficiency due to high
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發(fā)表于 2025-3-24 17:07:45 | 只看該作者
3. Distributed Constraint Problems — A Model for Collaborative Problem Solvinge the basic constraint [124] satisfaction and optimization problem model. We investigate equivalence, reducibility and extensibility relations on constraint problems, such make constraint problems comparable and derive a formulation of correctness and completeness of constraint processing approaches
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發(fā)表于 2025-3-24 23:03:24 | 只看該作者
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發(fā)表于 2025-3-25 00:11:40 | 只看該作者
5. Multi-agent System Infrastructure a reviewof the state of the art in this field and filtered by demands made by AuReCon, own contributions to the logical and physical foundations of agent communication and existence are detailed. They include general agent interaction protocols based on speech acts and modeled by algebraic Petri ne
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