The development of the Remote Agent also provided the opportunity to reassess some of AI's conventional wisdom about the challenges of implementing embedded systems, tractable reasoning, and knowledge representation.
We have recently started an effort to combine a state of the art tool for developing functional modules of robotic systems (GenoM) with a component based framework for implementing embedded real-time systems (BIP).
With Normalization Process Theory in place, this study conducts socio-technical evaluation on the big data phenomenon to understand the developmental processes through which new practices of thinking and enacting are implemented, embedded, and integrated in South Korea.
If you are reading this book, you almost certainly have an understanding of programming, but designing and implementing embedded programs is different and more challenging than writing typical workstation or PC programs.
Furthermore, limited evidence supports our understanding of how decision aids become routinely implemented, embedded, and sustained in practice that is, how they become normalized.
At a systems level the Normalization Process model was developed to assist both service providers and research constituencies in understanding how health care interventions, technologies, and practices are implemented, embedded, and integrated in everyday life [ 46].
That is the reason why many papers implemented embedding algorithm based on the full context rhombus predictor [10 13].
One theoretical model of implementation - Normalization Process Theory (NPT) (see Table 2) [ 24] – is concerned with understand the dynamics of implementing, embedding, and integrating a new technology or complex intervention- such as Collaborative Care within a healthcare system.
