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master's thesis
Ključni aspekti modeliranja i nadzora prirodne inteligencije
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:669939
Cirkveni, Dorijan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Cirkveni, D. (2024). Ključni aspekti modeliranja i nadzora prirodne inteligencije (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:669939

Cirkveni, Dorijan. "Ključni aspekti modeliranja i nadzora prirodne inteligencije." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:669939

Cirkveni, Dorijan. "Ključni aspekti modeliranja i nadzora prirodne inteligencije." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:669939

Cirkveni, D. (2024). 'Ključni aspekti modeliranja i nadzora prirodne inteligencije', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:669939

Cirkveni D. Ključni aspekti modeliranja i nadzora prirodne inteligencije [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:669939

D. Cirkveni, "Ključni aspekti modeliranja i nadzora prirodne inteligencije", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:669939

Metadata
TitleKljučni aspekti modeliranja i nadzora prirodne inteligencije
Title (english)Modelling and Oversight of Natural Intelligence: Key Aspects
AuthorDorijan Cirkveni
MentorVedran Mornar (mentor)
Committee memberVedran Mornar (predsjednik povjerenstva)
Committee memberBoris Milašinović (član povjerenstva)
Committee memberMarina Bagić Babac (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj diplomski rad istražuje mogućnost napretka umjetne inteligencije do točke u kojoj može parirati ljudskoj inteligenciji ili postići svijest, kao i mogućnost i potencijalne metode testiranja takvih napredaka. Koristeći utvrđene teorije inteligencije i svijesti, zajedno s poznatim modelima umjetne inteligencije i metodama testiranja, rezultat ovog rada predstavlja prototip okvira za testiranje umjetnih agenata te nudi preporuke i motivaciju za buduća istraživanja. Provedeno istraživanje rezultiralo je funkcionalnim prototipom okvira za testiranje, što olakšava razvoj i evaluaciju potencijalno inteligentnih ili svjesnih umjetnih agenata.
Abstract (english)
This thesis explores the possibility of advancement of artificial intelligence to the point where it can rival human intelligence or achieve consciousness, as well as the possibility and potential methods for testing for such advancements. Using established theories of intelligence and consciousness, along with known artificial intelligence models and testing methods, the result of this work presents a prototype for an artificial agent testing framework and offers recommendations and motivation for future research. The research has resulted in a functional prototype of the testing framework, which facilitates the development and evaluation of potentially intelligent or conscious artificial agents.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:669939
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2024-10-12 20:17:49