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master's thesis
Kognitivni agenti i problemi učenja
Split: University of Split, University of Split, Faculty of science, 2016. urn:nbn:hr:166:701149
Dunić, Stefan
University of Split
Faculty of Science
Department of Informatics

Institutional repository: Repository of Faculty of Science

Cite this document

Dunić, S. (2016). Kognitivni agenti i problemi učenja (Master's thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:701149

Dunić, Stefan. "Kognitivni agenti i problemi učenja." Master's thesis, University of Split, Faculty of Science, 2016. https://urn.nsk.hr/urn:nbn:hr:166:701149

Dunić, Stefan. "Kognitivni agenti i problemi učenja." Master's thesis, University of Split, Faculty of Science, 2016. https://urn.nsk.hr/urn:nbn:hr:166:701149

Dunić, S. (2016). 'Kognitivni agenti i problemi učenja', Master's thesis, University of Split, Faculty of Science, accessed 27 November 2024, https://urn.nsk.hr/urn:nbn:hr:166:701149

Dunić S. Kognitivni agenti i problemi učenja [Master's thesis]. Split: University of Split, Faculty of Science; 2016 [cited 2024 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:166:701149

S. Dunić, "Kognitivni agenti i problemi učenja", Master's thesis, University of Split, Faculty of Science, Split, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:166:701149

Metadata
TitleKognitivni agenti i problemi učenja
Title (english)Cognitive agents and learning problems
AuthorStefan Dunić
MentorSaša Mladenović (mentor)
Committee memberSaša Mladenović (predsjednik povjerenstva)
Committee memberGoran Zaharija (član povjerenstva)
Committee memberDivna Krpan (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Informatics)
Split
Defense date and country2016-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
GOMS model je široko poznati koncept koji se javlja u interakciji između računala i čovjeka. Od inicijalne ideje, danas postoje nekoliko razvijenih GOMS tehnika za analizu koje se razlikuju u izgledu i formi sa definiranom logičkom strukturom i snagom predviđanja. Kroz unaprijed definirane operatore i metode, prateći određena pravila korisnik dolazi do željenog konačnog cilja. U radu se rješava problem kretnje LEGO® MINDSTORMS® EV3 robota u prostoru. Primjenjuje se CMN–GOMS (Card, Morgan, Newell) model, budući da on predstavlja temelj GOMS ideje koja ciljno orijentiran zadatak rješava sekvencijalnim nizom operatora. Usporedbom sa primjenom algoritma informirane pretrage na rješavanje problema, CMN–GOMS model je dao bolje rezultate. Također, pokazalo se da se takav način rješavanja može primijeniti i u bilo kojoj prirodnoj okolini na problem snalaženja u prostoru.
Abstract (english)
GOMS model is a widely recognized concept in Human-Computer Interaction (HCI). Since the initial idea, several GOMS techniques were developed that were used for analysis, differing in their form defined by the logical structure and prediction power. Through defined operators and methods and following the certain rules, user is able to reach specific goal. This work represents an effort to solve motion of the LEGO® MINDSTORMS® EV3 robot in space. CMN-GOMS (Card, Morgan, Newell) model was chosen, since it represents groundfloor of the GOMS idea that solves the given task through sequence of operators. Compared with the informed search algorithms for solving the given task, CMN-GOMS model gave better results. Moreover, it was shown that this model can be used in any other space motion problem in the natural environment.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:701149
Study programmeTitle: Computer Science; specializations in: major in teaching
Course: major in teaching
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije informatike (magistar/magistra edukacije informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2017-07-10 14:28:48