Abstract
The paper addresses the problem of information fusion in Multi-Agent System. Since the knowledge of the process state is distributed between agents, the efficiency of the task performance depends on a proper information fusion technique applied to the agents. In this paper we study the case in which each agent has its own sensing device and is able to collect information with some certainty. Since the same information can be detected by multiple agents, the global certainty about the given fact derives from the fusion of information exchanged by interconnecting agents. The key issue in the method proposed, is an assumption that each agent is able to asses its own reliability during the task performance. The method is illustrated by the pick-up-and-collection task example. The effectiveness of the method proposed is evaluated using relevant simulation experiments.
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Mellado, M., Skrzypczyk, K. (2013). Information Fusion in Multi-agent System Based on Reliability Criterion. In: Nawrat, A., Kuś, Z. (eds) Vision Based Systemsfor UAV Applications. Studies in Computational Intelligence, vol 481. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00369-6_13
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DOI: https://doi.org/10.1007/978-3-319-00369-6_13
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