Abstract
The Belief-Desire-Intention (BDI) agent architecture is a favored agent development architecture known for its distinct abstraction between components and flexibility in determining its actions. This determination is handled through a plan selection function which determines the most appropriate plan or action. Recent years have seen various forms of extensions to this architecture, including a model-driven creation approach based around the Extended Non-functional requirements framework (ENFR). Non-functional requirements illustrate parts of a system which must be satisfied to an appropriate extent. The model-driven approach within this paper uses components from this framework to formulate plans governed by their contribution to these requirements. This is done in an optimized manner to ensure the selected plan is optimal with regards to the systems attainment. This paper presents our optimized model-driven agent development approach, demonstrating its conversion from the initial ENFR model into a completely optimized agent. The approach is verified through empirical analysis.
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