An Algebraic Framework for Compositional Design of Autonomous and Adaptive Multiagent Systems

Organization-based MultiAgent Systems (OMAS) have been viewed as an effective paradigm for addressing the design challenges posed by today's complex systems. In those systems, the organizational perspective is the main abstraction, which provides a clear separation between agents and systems, allowing a reduction in the complexity of the overall system. To ease the development of OMAS, several methodologies have been proposed. Unfortunately, those methodologies typically require the designer to handle system complexity alone, which tends to lead to ad-hoc designs that are not scalable and are difficult to maintain. Moreover, designing organizations for large multiagent systems is a complex and time-consuming task; design models quickly become unwieldy and thus hard to develop.