Simulacija evakuacije agenata

undergraduate thesis

• Title (english): Agent Evacuation Simulation
• Author: Tin Blažević
• Mentor: Željka Mihajlović (mentor)
• Committee member: Željka Mihajlović (predsjednik povjerenstva)
• Committee member: Hrvoje Nuić (član povjerenstva)
• Committee member: Juraj Fulir (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2020-07-13, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U ovom radu opisane su i implementirane dvije vrste umjetne inteligencije na jednostavnom zadatku snalaženja u virtualnom okolišu, u obliku evakuacije u escape room stilu. Agenti moraju surađivati i skupljati te koristiti predmete kako bi uklonili prepreke sa svog puta prema cilju. Prvi pristup baziran je na strojnom učenju i koristi Unity ML-Agents paket s algoritmima za potporno učenje. Drugi pristup baziran je na automatskom planiranju i implementiran je jednostavan GOAP sustav za planiranje uz korištenje Unity navigacijske mreže za kretanje okolišem. Rezultat je interaktivna simulacija u kojoj korisnik može birati scenu i vrstu agenta te dodavati objekte kroz jednostavno grafičko sučelje.

Abstract (english)

In this thesis two types of artificial intelligence are described and implemented to solve a task of overcoming a virtual environment in the form of an escape room. The agents have to cooperate and reach a goal while collecting items and using them to remove obstacles from their path. The first approach is machine learning based and uses the Unity ML-Agents package and its reinforcement learning algorithms. The second approach is based on automated planning and uses a simple implementation of the GOAP planning system along with the Unity NavMesh system for navigating the environment. The result is an interactive simulation in which the user can choose the scene and agent type as well as add objects through a simple graphical interface.

• Keywords: umjetna inteligencija; Unity; strojno učenje; potporno učenje; ML-Agents; automatsko planiranje; GOAP; interaktivna simulacija
• Keywords (english): artificial intelligence; Unity; machine learning; reinforcement learning; ML-Agents; automated planning; GOAP; interactive simulation
• Language: croatian
• URN:NBN: urn:nbn:hr:168:511524
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-14 08:30:32