Primijenjena napredna umjetna inteligencija u Unreal Enginu na bazi konkurentnog višeagentnog sustava

master's thesis

• Title (english): Application of Advanced Forms of Artificial Intelligence in Unreal Engine Based on a Specific Multiagent System
• Author: Ivan Huzjak
• Mentor: Bogdan Okreša Đurić (mentor); MBZ: 367114
• Committee member: Markus Schatten (član povjerenstva); MBZ: 291806
• Granter: University of Zagreb; Faculty of Organization and Informatics; (Department of Theoretical and Applied Foundations of Information Sciences); Varaždin
• Defense date and country: 2024-07-05, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Information and Communication Sciences; Organization and Informatics

Abstract

The main idea behind this theme is to study and give some insights on how multiagent system
can be applied in the task of controlling the artificial intelligence in video games. Video games
are the leading revenue actor in the entertainment industry. The most popular way of controlling
advanced AI behavior in video games is with behavior trees. Behavior flow in those structures
needs to be regulated by set of rules. Multiagent system provides a unique new approach that
requires more implementation work up front, but can speed up the rules flow setup later on.
Fine tuning values that control the artificial intelligence can get tricky so the mixed approach is
recommended the most.

• Keywords: višeagentni sustav; unreal engine; multiagent system
• Language: croatian
• URN:NBN: urn:nbn:hr:211:366850
• Study programme: Title: Information and Programming Engineering; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra informatike (magistar/magistra informatike)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-07-08 04:03:09