+ IBF (Idea-breeding-farm) +

We are proud of this study! close

+ MY-X DVD +

2020.XI.
BME-ETDK-1. place (incl. OTDK-access-right) with a study supported by the MY-X team!

2020.XI.
2 BPROF-Students (1. semester): 1. and 2. places (ETDK) + OTDK-access rights!

2020.III-VI.
QuILT: distance education with avatars in English!

2020.VI.
More and more qualitative studies in English from Students of the international courses!

2019.IX.
The Liebig-rule is available in the traffic!

2018.IX.
Kecskemét-Conference about Innovation: presentation of the 2DM-game!

2018.VI.
MMO 2018 conference: the best presentation of the session (award for 2DM) + the best publication of the session (award for Rosling-animations)!



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 MATARKA-view

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)


Please, send Your comments per email!

((Back))
miau.my-x.hu
myxfree.tool
rss.services