Information exchange among heterogenous entities is common in most distributed systems. To facilitate information exchange, we first need ways to evaluate it. The concept of conviviality was recently introduced to model and measure cooperation among agents. In this paper, we use conviviality to model and measure information dependencies in distributed systems modeled as Multi-Context Systems. Then, we apply our findings to resolve inconsistencies among participating entities. © 2013 Springer-Verlag.
CITATION STYLE
Caire, P., Bikakis, A., & Le Traon, Y. (2013). Information dependencies in MCS: Conviviality-based model and metrics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8291 LNAI, pp. 405–412). https://doi.org/10.1007/978-3-642-44927-7_28
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