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2017.IX.
Young members of the MY-X team co-operate successfully with PhD-Students in frame of the conference of Szarvas!

2017.VII.
The MY-X team (incl. joung members) participated on the conference 'In memoriam Enyedi György'

2017.VI.
Bárdy-Péter-Prize for a member of the MY-X team concerning his innovation potential!

2017.V.
Gábor-Dénes-Prize (special prize for mathematics) for a member of the MY-X team!

2017.IV.
Special Prize in Minsk in frame of an essay-competition for a member of the MY-X team concerning a study about reform approches in education!

2017.IV.
III. Prize in the Hlavay competition for a member of the MY-X team!

2017.III.
NTP-NFTÖ financial support for a member of the MY-X team!

2017.II.
Successful presentation in TUDOK-competition in Nyíregyháza and later in Székesfehérvár by a member of the MY-X team!



Last modified: 2015.VII.19.14:08 - MIAÚ-RSS
The Journal MIAU has been working for 20+ years as a kind of public service!

The human capability of term-creation is the core of the automated knowledge management

Leading article: 2016. December (MIAU No. 220.)
(Previous article: MIAU No. 219.)

Keywords: similarity analysis, correlation, modell-based term, artificial intelligence

Abstract: The human term-creation is a product of the biochemical processes in the brain. The artificial intelligence-based term-creation can be executed based on similarity analyses being anti-discriminative and consistence-driven. The (naive) logic of the Turing tests said: intelligent is what seems to be intelligent evaluated by humans. This evaluation – however – should not be binary. The higher is the correlation between two phenomena is, the more similar are they. In case of the quasi randomly chosen phenomenon “movement- and body-awareness” artificial terms got created based on the big-data sources: Google Trends and classic statistics about the states in the USA. The core of the term-creation is the direction between phenomena. Directions can be derived in a statistical way or based on human associations. The correlations between artificial terms produced from different sources and through diverse processes are high (0.5-0.96). Therefore the knowledge management based on artificial terms can be automated even compared to naive human approaches... More (DOC) *** More (PDF)


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