Sustainable natural systems require energy. This requirement of energy is proportional to the activity they manifest. In a scalable self-similar artificial system, information gateways at every level must limit the information/activity to-from their subsystems based on computational algorithms. We discuss some of the implemented algorithms in these gateways for focusing attention to the most active component. We validate that attention switching is an emergent property of such a system and happens when there is goal-directed behavior within the system or an agent. We describe the structural elements that are needed to deal with the bottom-up and top-down phenomenon and model the behavior using DEVS-based hierarchical system capable of focusing attention. We define resource-constrained complex intelligent dynamical system (RCIDS) and summarize various application areas that can leverage these concepts.
['Saurabh Mittal', 'Bernard P. Zeigler']
Modeling attention switching in resource-constrained complex intelligent dynamical systems (RCIDS)