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master's thesis
Algoritmi umjetne inteligencije u strateškim igrama u stvarnom vremenu
2024. urn:nbn:hr:200:410920
Mešić, Eldin
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

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Mešić, E. (2024). Algoritmi umjetne inteligencije u strateškim igrama u stvarnom vremenu (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:410920

Mešić, Eldin. "Algoritmi umjetne inteligencije u strateškim igrama u stvarnom vremenu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:410920

Mešić, Eldin. "Algoritmi umjetne inteligencije u strateškim igrama u stvarnom vremenu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:410920

Mešić, E. (2024). 'Algoritmi umjetne inteligencije u strateškim igrama u stvarnom vremenu', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:410920

Mešić E. Algoritmi umjetne inteligencije u strateškim igrama u stvarnom vremenu [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2024 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:200:410920

E. Mešić, "Algoritmi umjetne inteligencije u strateškim igrama u stvarnom vremenu", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:200:410920

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Metadata
TitleAlgoritmi umjetne inteligencije u strateškim igrama u stvarnom vremenu
Title (english)Artificial intelligence algorithms in real-time strategy games
AuthorEldin Mešić
MentorČaslav Livada (mentor)
Committee memberČaslav Livada (predsjednik povjerenstva)
Committee memberAlfonzo Baumgartner (član povjerenstva)
Committee memberKrešimir Nenadić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Osijek
Defense date and country2024-10-03, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
U ovom radu prolazi se kroz načine rada i implementaciju osnovnih algoritama AI protivnika u RTS aplikacijama. Zadatak ovog završnog rada je istraživanje, implementacija i analiza dva osnovna algoritma umjetne inteligencije u kontekstu RTS igara, konkretno algoritam stabla odlučivanja i algoritam stabla ponašanja. U te svrhe izrađena je prilagođena RTS aplikacija koristeći Unity Game Engine. Kroz proučavanje, implementaciju i usporedbu ovih algoritama, cilj je prikaz složenost i izazove s kojima su se susretali rani programeri AI sustava te prikazati evoluciju umjetne inteligencije u strateškim igrama. Preko rezultata rada omogućuje se dublje razumijevanje kako su temeljni AI pristupi poslužili kao osnova za napredne sustave koji se danas koriste te su naglasili važnost ustrajnosti i inovacija u ovom polju.
Abstract (english)
This paper explores the working methods and implementation of basic AI opponent algorithms in RTS applications. The task of this final paper is the research, implementation, and analysis of two basic artificial intelligence algorithms in the context of RTS games, specifically the decision tree algorithm and the behavior tree algorithm. For this purpose, a customized RTS application was created using the Unity Game Engine. Through the study, implementation, and comparison of these algorithms, the aim is to showcase the complexity and challenges faced by early AI system developers and to illustrate the evolution of artificial intelligence in strategy games. The results of this work provide a deeper understanding of how fundamental AI approaches served as the foundation for advanced systems used today, emphasizing the importance of persistence and innovation in this field.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:410920
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka računarstva (sveučilišni/a magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-10-28 12:38:41