A DIKW architecture for cognitive engineering

Amit Kumar Mishra*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

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.

Original languageEnglish
Title of host publication8th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2017
Subtitle of host publication(Eighth Annual Meeting of the BICA Society), held August 1-6, 2017 in Moscow, Russia
Pages285-289
Number of pages5
Volume123
DOIs
Publication statusPublished - 03 Feb 2018
Externally publishedYes
Event8th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2017 - Moscow, Russian Federation
Duration: 01 Aug 201706 Aug 2017

Publication series

NameProcedia Computer Science
PublisherElsevier
Volume123
ISSN (Print)1877-0509

Conference

Conference8th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2017
Country/TerritoryRussian Federation
CityMoscow
Period01 Aug 201706 Aug 2017

Keywords

  • Big-Data
  • Bio-inspired
  • Cognitive architecture
  • Machine learning

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