Norms are an efficient way of controlling the behaviour of agents while still allowing agent autonomy. While there are tools for programming Multi-Agent Systems, few provide an explicit mechanism for simulating norm-based behaviour using a variety of normative representations. In this paper, we develop an artefact-based mechanism for norm processing, monitoring and enforcement and show its implementation as a framework built with CArtAgO. Our framework is then empirically demonstrated using a variety of enforcement settings.
CITATION STYLE
Chang, S., & Meneguzzi, F. (2016). Simulating normative behaviour in multi-agent environments using monitoring artefacts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9628, pp. 59–77). Springer Verlag. https://doi.org/10.1007/978-3-319-42691-4_4
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