A4 Article in conference proceedings
From Deep Learning to Deep University : Cognitive Development of Intelligent Systems (2018)


Golovianko, M., Gryshko, S., & Terziyan, V. (2018). From Deep Learning to Deep University : Cognitive Development of Intelligent Systems. In J. Szymański, & Y. Velegrakis (Eds.), Semantic Keyword-Based Search on Structured Data Sources. IKC 2017 (pp. 80-85). Springer. Lecture Notes in Computer Science, 10546. https://doi.org/10.1007/978-3-319-74497-1_8


JYU authors or editors


Publication details

All authors or editors: Golovianko, Mariia; Gryshko, Svitlana; Terziyan, Vagan

Parent publication: Semantic Keyword-Based Search on Structured Data Sources. IKC 2017

Parent publication editors: Szymański, Julian; Velegrakis, Yannis

Conference:

  • International keystone conference

ISBN: 978-3-319-74496-4

Journal or series: Lecture Notes in Computer Science

ISSN: 0302-9743

Publication year: 2018

Number in series: 10546

Pages range: 80-85

Number of pages in the book: 261

Publisher: Springer

Publication country: Switzerland

Publication language: English

DOI: https://doi.org/10.1007/978-3-319-74497-1_8

Publication open access: Not open

Publication channel open access: 

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/57128

Additional information: Third International KEYSTONE Conference, IKC 2017, Gdańsk, Poland, September 11-12, 2017, Revised Selected Papers and COST Action IC1302 Reports


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.
See presentation slides: https://ai.it.jyu.fi/IKC-2017.pptx


Keywords: cognitive development

Free keywords: deep learning; cognitive system; computational creativity; exploratory search; deep university


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2018

JUFO rating: 1


Last updated on 2024-27-03 at 12:48