Abstract
This paper proposes a corpus of metrics to evaluate the balance of communications in these systems. The hypothesis of this paper is that these metrics are strongly related with the quality of service of the MASs. In addition, some classification rules are provided to classify agents according to the metrics; thus, an origin of the low quality of service of MASs is detected. The detection of this origin is the first step for debugging and improving the communication in MASs. The experimentation of this work uses the INGENIAS Development Kit, because it supports the development of fully functional Multi-agent Systems (MASs) from specification models. As a proof of concept, this work measures two variants of a MAS for managing a crisis situation in a city and shows the relationship between the proposed metrics and the quality of service.
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Gutiérez, C., García-Magariño, I., Gómez-Sanz, J.J. (2009). Evaluation of Multi-Agent System Communication in INGENIAS. In: Cabestany, J., Sandoval, F., Prieto, A., Corchado, J.M. (eds) Bio-Inspired Systems: Computational and Ambient Intelligence. IWANN 2009. Lecture Notes in Computer Science, vol 5517. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02478-8_78
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DOI: https://doi.org/10.1007/978-3-642-02478-8_78
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