The agent paradigm can be seen as an extension of the notion of (active) objects by concepts like autonomy, cooperation, and goal-oriented behavior. Mainstream object-oriented modeling techniques do not account for these agentspecific aspects. Therefore, dedicated techniques for agent-oriented modeling are required which are based on the concepts and notations of object-oriented modeling and extend these in order to support agent-specific concepts. In this paper, an agent-oriented modeling technique is introduced which is based on UML notation. Graph transformation is used both on the level of modeling in order to capture agent-specific aspects and as the underlying formal semantics of the approach. © 2001 Springer Berlin Heidelberg.
CITATION STYLE
Depke, R., Heckel, R., & Malte Küster, J. (2001). Agent-oriented modeling with graph transformation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1957 LNCS, pp. 105–119). https://doi.org/10.1007/3-540-44564-1_7
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