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From Deep Learning to Deep University: Cognitive Development of Intelligent Systems

  • Mariia Golovianko
  • Svitlana Gryshko
  • Vagan TerziyanEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10546)

Abstract

Search is not only an instrument to find intended information. Ability to search is a basic cognitive skill helping people to explore the world. It is largely based on personal intuition and creativity. However, due to the emerged big data challenge, people require new forms of training to develop or improve this ability. Current developments within Cognitive Computing and Deep Learning enable artificial systems to learn and gain human-like cognitive abilities. This means that the skill how to search efficiently and creatively within huge data spaces becomes one of the most important ones for the cognitive systems aiming at autonomy. This skill cannot be pre-programmed, it requires learning. We offer to use the collective search expertise to train creative association-driven navigation across heterogeneous information spaces. We argue that artificial cognitive systems, as well as humans, need special environments, like universities, to train skills of autonomy and creativity.

Keywords

Deep learning Cognitive system Cognitive development Computational creativity Exploratory search Deep university 

Notes

Acknowledgements

This article is based upon work from COST (European Cooperation in Science and Technology) Action KEYSTONE IC1302.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Department of Artificial IntelligenceKharkiv National University of RadioelectronicsKharkivUkraine
  2. 2.Department of Economic CyberneticsKharkiv National University of RadioelectronicsKharkivUkraine
  3. 3.Faculty of Information TechnologyUniversity of JyvaskylaJyvaskylaFinland

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