Graph transformations are a powerful notation formally describing different aspects of modeled systems. Multiagent systems introduce distribution, parallelism and autonomous decision properties. In the paper a basic properties of the GRADIS agent's framework, joining of both approaches, are discussed. This framework supports splitting the graph, describing a problem, onto a few partial graphs, that can be maintained by different agents. Moreover, the multiagent's cooperation enables the application to the local graphs the graph transformation rules introduced for the centralizes graph; this permits us transfer all theoretical achievements of the centralized graph trans-formations to the distributed environment. The usefulness of the hierarchical graphs structure are and some examples of its usefulness are presented. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Kotulski, L. (2008). GRADIS - Multiagent environment supporting distributed graph transformations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5103 LNCS, pp. 644–653). https://doi.org/10.1007/978-3-540-69389-5_72
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