Generic cognitive computing for cognition

Ozer Ciftcioglu, Michael S. Bittermann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Cognition is a subject of cognitive science which spans a large domain of disciplines from neuroscience and computational intelligence of engineering sciences. It refers to the ability for processing information applying knowledge. This research aims to establish a generic computational model for cognition to gain insight into computational cognition and comprehension. Comprehension is a deeper, yet more essential concept relevant to human mind activity. The work is exciting not only because it sheds some light on cognitive computation for mimicking the complex brain processes as computational cognition and comprehension, but it also provides an apparent liaison between neuro science and computational neuro science. The work is exemplified by a generic cognition theme, and the subject-matter of the work, i.e. computational cognition, is applied to it. The validity of the model is demonstrated by surprisingly accurate outcomes.

Original languageEnglish
Title of host publication2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages574-581
Number of pages8
ISBN (Electronic)9781479974924
DOIs
Publication statusPublished - 10 Sept 2015
Externally publishedYes
EventIEEE Congress on Evolutionary Computation, CEC 2015 - Sendai, Japan
Duration: 25 May 201528 May 2015

Publication series

Name2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings

Conference

ConferenceIEEE Congress on Evolutionary Computation, CEC 2015
Country/TerritoryJapan
CitySendai
Period25/05/1528/05/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • cognition
  • cognitive computing
  • comprehension
  • computational intelligence
  • evolutionary algorithm
  • genetic algorithm
  • neural network
  • RBF network

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