A DIKW Paradigm to Cognitive Engineering
This work provides a structured approach for researchers and engineers aiming to develop brain-inspired systems, though it appears incremental as it builds on the existing DIKW framework.
The paper tackles the challenge of creating an achievable framework for cognitive engineering by adapting the DIKW (data, information, knowledge, wisdom) paradigm to set goals and sub-goals, aligning it with the layered structure of the pre-frontal cortex to facilitate development of brain-inspired systems.
Though the word cognitive has a wide range of meanings we define cognitive engineering as learning from brain to bolster engineering solutions. However, giving an achievable framework to the process towards this has been a difficult task. In this work we take the classic data information knowledge wisdom (DIKW) framework to set some achievable goals and sub-goals towards cognitive engineering. A layered framework like DIKW aligns nicely with the layered structure of pre-frontal cortex. And breaking the task into sub-tasks based on the layers also makes it easier to start developmental endeavours towards achieving the final goal of a brain-inspired system.