Artifacts having to perform in the real world should be able to cope with uncertain situations and react quickly to changes in the environment. Living systems, starting from a pre-structured set of functions, develop competence to better adapt to the environment all life long, from childhood to maturity. This phenomenon is called growing up. A developmental intelligence for growing up robots must be able to generate autonomously representations for unknown knowledge and skills. Models of development can play an important role in specifying the minimal preferences, faculties, and processes needed for this skill to emerge. A perspective on the analysis of some adaptive learning processes originating from literature and experiments in natural world result in some suggestion intelligent system architecture modeling.
Self-Adaptive System Architecture Modeling Based on DoDAF
