Cognitive informatics in year 10 and beyond: Summary of the plenary panel

Yingxu Wang, Robert C. Berwick, Simon Haykin, Witold Pedrycz, George Baciu, Virendrakumar C. Bhavsar, Marina Gavrilova, Witold Kinsner, Du Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

The contemporary wonder of sciences and engineering has recently refocused on the starting point of them: How the brain processes internal and external information autonomously and cognitively rather than imperatively as those of conventional computers do? This leads to the advances in the field of Cognitive Informatics (CI) as a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science. CI investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. This paper reports a set of nine position statements presented in the plenary panel of IEEE ICCI*CC'11 on Cognitive Informatics in Year 10 and Beyond contributed from invited panelists who are part of the world's renowned researchers and scholars in the field of cognitive informatics and cognitive computing.
Original languageEnglish
Title of host publicationProceedings of the 10th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2011
Pages11-22
Number of pages12
DOIs
Publication statusPublished - 3 Oct 2011
Event10th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2011 - Banff, AB, Canada
Duration: 18 Aug 201120 Aug 2011

Conference

Conference10th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2011
Country/TerritoryCanada
CityBanff, AB
Period18/08/1120/08/11

Keywords

  • abstract intelligence
  • artificial intelligence
  • cognitive computers
  • cognitive computing
  • Cognitive informatics
  • computational intelligence
  • concept algebra
  • denotational mathematics
  • eBrain
  • granular algebra
  • industrial applications
  • inference algebra
  • natural intelligence
  • RTPA
  • system algebra
  • visual semantic algebra

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Cognitive Neuroscience

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