# A DIKW Paradigm to Cognitive Engineering

## TL;DR

This paper proposes using the DIKW framework to structure cognitive engineering efforts, aligning layered goals with brain architecture to facilitate development of brain-inspired systems.

## Contribution

It introduces a layered DIKW-based framework for cognitive engineering, linking it to brain structure to guide development of brain-inspired solutions.

## Key findings

- DIKW framework aligns with pre-frontal cortex layers
- Layered goals simplify cognitive engineering tasks
- Framework aids in systematic development of brain-inspired systems

## Abstract

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.