20.500.12556/RUL-142444 Uporaba mehke logike za simuliranje množic v računalniških igrah Fuzzy crowd simulations for computer games Metode mehke logike omogočajo definiranje skupinskega vedenja množice agentov. Definiranje pravil z metodami mehke logike je vizualno preprosto, izračunano vedenja pa precej naravno. V filmski industriji se že nekaj časa uporabljajo orodja, ki ponujajo takšne metode definiranja vedenja množic. Pri razvoju iger pa v javno dostopnih igralnih okoljih teh še ne najdemo. V magistrskem delu za igralno okolje Unity razvijemo ogrodje za vizualno programiranje vedenja množice agentov. Sestavljeno je iz treh večjih komponent: urejevalnika vizualnega programiranja vedenja, komponente za nastavljanje lastnosti agenta in komponente za upravljanje računanja vedenja. Ogrodje testiramo na treh modelih Boids: letenje jate ptic v 2D in 3D prostoru ter hoja ljudi proti skupnemu cilju, skozi poligon z ovirami. Pri modelih letenja jate ptic izmerimo učinkovitost računanja vedenja. Merimo število slik na sekundo pri različnih nastavitvah računanja vedenja. Velikost množice agentov, pri kateri se simulacija izvaja pri 60 slikah na sekundo, je 300 v 2D prostoru in 200 v 3D prostoru. Fuzzy logic methods can be used for defining collective behaviour of a group of agents. Defining the rules with fuzzy logic is visually simple and the resulting behaviour is quite natural. Tools that offer such methods for defining collective behaviour have been in use in film industry for some time now. But when we look at game development, specifically in public game engines, we don't find them yet. In this master's thesis we develop a framework for Unity game engine that offers visual programming of collective behaviour. It consists of three major components: an editor for visual programming of behaviour, a component for setting the agent properties and a component for managing behaviour computation settings. We test the framework on three Boids models: flight of a flock of birds in 2D and 3D space, and people walking towards a common goal, through a field with obstacles. We measure the efficiency of behaviour computation on flocks of birds models. We measure the frames per second at different behaviour computation settings. The size of the group of agents, at which the simulation runs at 60 frames per second, is 300 in 2D space and 200 in 3D space. mehka logika skupinsko vedenje boids računalniške igre fuzzy logic collective behaviour boids computer games true false false Slovenski jezik Angleški jezik Magistrsko delo/naloga 2022-11-09 12:35:00 2022-11-09 12:35:07 2022-11-17 09:24:30 0000-00-00 00:00:00 2022 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 33981 129727491 Dimc_Simon_-_Uporaba_mehke_logike_za_simuliranje_mnozic_v_racunalniskih_igrah.pdf Dimc_Simon_-_Uporaba_mehke_logike_za_simuliranje_mnozic_v_racunalniskih_igrah.pdf 1 87B5399B2C34A582FCC362571C3CC453 8d28cfc2ffaa15b3f969f79177e285541cdd47f6181331757c85db5d23b52dc6 769f95d4-6022-11ed-9c94-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=163833 Fakulteta za računalništvo in informatiko 0 0 0