Abstract

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.KeywordsSequence DiagramGraph TransformationGraph GrammarCase DiagramAgent ClassThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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