@inproceedings{a48d2b851c73493c8798cbe144b0ce1a,
title = "A DIKW architecture for cognitive engineering",
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.",
keywords = "Big-Data, Bio-inspired, Cognitive architecture, Machine learning",
author = "Mishra, \{Amit Kumar\}",
note = "Publisher Copyright: {\textcopyright} 2018 The Authors.; 8th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2017 ; Conference date: 01-08-2017 Through 06-08-2017",
year = "2018",
month = feb,
day = "3",
doi = "10.1016/j.procs.2018.01.044",
language = "English",
volume = "123",
series = "Procedia Computer Science",
publisher = "Elsevier",
pages = "285--289",
booktitle = "8th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2017",
}