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Applied Intelligent Systems - AISLab
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Thema: SEAMLESS

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Publikationen für Thema: SEAMLESS sortiert nach Zeitschrift und Typ

MDPI Sensors 20(3):746


Publikationen vom Typ Inproceedings


2020

Davide Calvaresi, Giuseppe Albanese, Jean-Paul Calbimonte und Michael Schumacher, SEAMLESS: Simulation and Analysis for Multi-Agent System in Time-Constrained Environments, in: Proceedings of 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, Aquila, Italy, Seiten 392-397, Springer, 2020
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