2020
Movement of autonomous systems after selected infrastructure as a globalization effect induced by initiate Industry 4.0
BOTLÍK, JosefZákladní údaje
Originální název
Movement of autonomous systems after selected infrastructure as a globalization effect induced by initiate Industry 4.0
Název česky
Pohyb autonomních systémů po vybrané infrastruktuře jako globalizační efekt vyvolaný iniciující Industry 4.0
Autoři
BOTLÍK, Josef (203 Česká republika, garant, domácí)
Vydání
74. 02001. Žilina, International Scientific Conference Globalization and its Socio-Economic Consequences 2019 – Sustainability in the Global-Knowledge Economy, od s. 1-12, 12 s. 2020
Nakladatel
EkF, Žilinská univerzita Žilina
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
50803 Information science
Stát vydavatele
Slovensko
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
elektronická verze "online"
Odkazy
Kód RIV
RIV/47813059:19520/20:A0000124
Organizační jednotka
Obchodně podnikatelská fakulta v Karviné
ISSN
UT WoS
000528040800038
Klíčová slova česky
autonomní systémy; infrastruktura; globalizační efekty
Klíčová slova anglicky
autonomous systems; infrastructure; globalization effect
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 6. 5. 2020 12:04, Ing. Josef Botlík
Anotace
V originále
The replacement of specialized, highly sophisticated human work with systems using artificial intelligence is one of the features of the 4th Industrial Revolution known as Industry 4.0. The upcoming innovations and transformations of production processes, the digitized of information and the automation will bring about changes at the social level. These are mainly changes in the company's behavior. There is a significant risk for specific groups of people, especially those that can be replaced by new information technologies. In the context of the current sixth wave of globalization, new forms of migration of people and capital can be expected related to transnational nature of productive activities, the global form of communications and information. In the context of socio-economic structures, an individual is confronted with a set of factors. The aim of an individual's behavior is usually to change his localization with respect to the values of the preferred socioeconomic variables, such as availability of work, safety, air quality, etc. On the other hand, the position of an individual will influence the values of socio-economic variables. Behavior can be simulated using multiagent systems. The paper informs about the first phase of the research. Local maxima of factor values were identified