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

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objection

9. Controlling Agent Melting and Agent Splittinged to solve the AuReCon problem by realizing and controlling the AuReCon core concepts agent melting and agent splitting. We describe in detail the control input and its suitable representation, efficient control decisions, which are optimal in controlling agent splitting and adaptive in controlling

透明

10. Evaluationapproach should pursue. We present means for evaluation, including test set generation, patient stream simulation and monitoring. Based on a detailed discussion of a realistic test scenario regarding the problem and system setup, we can report convincing results in functionality, quality and efficie

碎石

11. Conclusion and Future Workvantages 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

Benign

Concurrent Reasoning with Inference Graphs,blem elements and leads to a completely technical understanding of agents as equivalence class representatives. Finally, we present a case study in medical appointment scheduling that will be used throughout this work.

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