Simulacija ekosustava

master's thesis

• Title (english): Simulating an ecosystem
• Author: Marin Njirić
• Mentor: Marin Golub (mentor)
• Committee member: Marin Golub (predsjednik povjerenstva)
• Committee member: Leonardo Jelenković (član povjerenstva)
• Committee member: Ante Đerek (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2022-07-08, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Ovaj rad bavi se simulacijom ekosustava napravljenog u okruženju za razvoj digitalnih igara Unity. U početku su opisani postojeći simulatori: mobilna igra Evolution, računalna igra Species ALRE i simulator Framsticks.
Nakon toga u praktičnom dijelu najprije je opisano stvaranje okoliša u kojemu će se životinje kretati. Implementirane su dvije vrste životinja, zečevi i lisice, kao i stvaranje biljaka koje su hrana za zečeve. Ponašanje životinja implementirano je koristeći oblikovni obrazac stanje. Rezultati simulacija prikazani su grafovima. Na njima se može vidjeti kretanje veličine populacija kroz vrijeme, kao i kretanje prosječnog iznosa parametara: brzine, širine vidokruga i veličine.

Abstract (english)

This paper describes simulation of an ecosystem made within cross-platform game engine Unity. Existing simulators are described at the beginning: mobile game Evolution, computer game Species ALRE and Framsticks simulator.
After that, in practical part, generation of the environment which animals will inhabit is described first. Two types of animals are implemented, rabbits and foxes, as well as generation of plants which present the food for the rabbits. Behavior of the animals is implemented using the State design pattern. Results of the simulation are presented using graphs. Connection between size of the populations and time is shown, as well as change in average amount of parameters: speed, sense and size.

• Keywords: simulacija; ekosustav; simulator; predator; plijen; ponašanje; odluke; stanje; populacija; genetski algoritam
• Keywords (english): simulation; ecosystem; simulator; predator; prey; behavior; decisions; state; population; genetic algorithm
• Language: croatian
• URN:NBN: urn:nbn:hr:168:248435
• 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: Closed access
• Created on: 2023-01-14 09:36:07