Inovativni pristup žanru 2D igara gađanja kroz integraciju umjetne inteligencije

master's thesis

• Title (english): An innovative approach to the genre of 2D shooter games through the integration of artificial intelligence
• Author: Felix Bečeić
• Mentor: Mirko Sužnjević (mentor)
• Committee member: Mirko Sužnjević (predsjednik povjerenstva)
• Committee member: Maja Matijašević (član povjerenstva)
• Committee member: Igor Sunday Pandžić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2024-09-12, Croatia

Abstract

Rad istražuje inovativne pristupe integracije umjetne inteligencije u razvoju 2D igara gađanja, s posebnim fokusom na konverziju teksta u sliku za izmjenu izgleda klasične videoigre "Space Invaders". Analizom nekoliko ključnih algoritama umjetne inteligencije ideja je da se stekne razumijevanje za procese koji se u pozadini prilikom generiranja vizualnih elemenata videoigre prema korisničkim zahtjevima. U pokaznoj videoigri korisnicima se omogućuje prilagodba grafičkog sučelja putem tekstualnih... More unosa čime se znatno povećava dinamičnost, a time i cjelokupno iskustvo igranja. Less

Abstract (english)

This paper explores innovative approaches to the integration of artificial intelligence in the development of 2D games, with a special focus on text-to-image conversion for modifying the look of the classic video game "Space Invaders". By analyzing several key artificial intelligence algorithms, the idea is to gain an understanding of the processes behind the generation of visual elements in a video game according to user input. In the sample video game, users are allowed to customize the... More graphic interface through text entries, which significantly increases immersiveness, and thus the overall gaming experience. Less

• Keywords: umjetna inteligencija; ui; strojno učenje; duboko učenje; videoigre; unity; stable diffusion; space invaders
• Keywords (english): artificial intelligence; ai; machine learning; deep learning; videogames; unity; stable diffusion; space invaders
• Language: croatian
• URN:NBN: urn:nbn:hr:168:736917
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-10-12 20:04:48