20.500.12556/RUL-149500 Agentno modeliranje dinamike tropov volkov v okolju NetLogo Agent-based modelling of wolf pack dynamics in NetLogo V diplomskem delu smo zgradili in ovrednotili simulacijski model dinamike tropov volkov. Model je bil razvit v okolju za agentno modeliranje NetLogo. Pri agentnem modeliranju je potrebno definirati lastnosti okolja ter začetna notranja stanja in pravila dinamike agentov. V našem modelu je osnovna entiteta oziroma agent volčji trop. Ti agenti so postavljeni v okolje, ki predstavlja območje Slovenije s sosednjim delom Hrvaške. Okolje NetLogo in agentno modeliranje smo v delu ustrezno predstavili. Predstavili smo tudi vsebinsko ozadje modela, ki temelji na projektih spremljanja dinamike volkov na obravnavanem območju. Opisali smo tudi oblikovno zgradbo modela, tako da smo razložili delovanje posameznih procedur. Dinamiko modela smo analizirali z Morrisovo in Sobolovo metodo globalne občutljivostne analize in rezultate ustrezno ovrednotili. Za vsako metodo globalne analize smo izvedli 3072 simulacij. Vzorce smo generirali z metodama knjižnice SALib. Simulacije smo izvedli s pomočjo paralelizacije s paketom ipyparallel. Zagon simulacij modela v NetLogo okolju smo iz datoteke Python omogočili z vmesnikom pyNetLogo. Za izvedbo analize na podatkih simulacij smo uporabili metodi knjižnice SALib. Po analizi smo interpretirali pomembnejše rezultate in jih primerjali z realno dinamiko volčjih tropov. In the thesis, we built and evaluated a simulation model of the wolf packs dynamics. The model was developed in the NetLogo agent-based modelling environment. In agent-based modelling, it is necessary to define the properties of the environment, as well as the agents' initial internal states and rules of agent dynamics. In our model, the main entity or agent is the wolf pack. These agents are placed in an environment that represents the area of Slovenia with the neighboring part of Croatia. In this work we presented the NetLogo environment and agent-based modelling. We also presented the substantive background of the model, which is based on projects monitoring the dynamics of wolves in the area under consideration. Furthermore we described the design structure of the model by explaining the operation of individual procedures. We analyzed the model dynamics using the Morris and Sobol method of global sensitivity analysis and evaluated the obtained results accordingly. We performed 3072 simulations for each global analysis method. The samples were generated using the methods of the SALib library. The simulations were performed using parallelization with the ipyparallel package. The launch of model simulations in the NetLogo environment was enabled from a Python file using the pyNetLogo interface. To perform the analysis on the simulation data, we used the methods of the SALib library. After the analysis, we interpreted the more important results and compared them with the real dynamics of wolf packs. agentno modeliranje okolje NetLogo model populacije volkov občutljivostna analiza Morrisova metoda Sobolova metoda simulacija dinamični model paralelizacija agent-based modelling NetLogo environment wolf population model sensitivity analysis Morris method Sobol method simulation dynamic model parallelization true false false Slovenski jezik Angleški jezik Diplomsko delo/naloga 2023-09-07 11:18:37 2023-09-07 11:18:39 2023-09-11 14:53:42 0000-00-00 00:00:00 2023 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 36573 164049155 Klinec_Mimi_-_Agentno_modeliranje_dinamike_tropov_volkov_v_okolju_NetLogo.pdf Klinec_Mimi_-_Agentno_modeliranje_dinamike_tropov_volkov_v_okolju_NetLogo.pdf 1 B8D4189A66C106D20F9367FE967A9A18 c621710b0992fee63c0b5efd0d92e5b895793da89ebe54760e4816b26b20c51c 8671c2ea-4d5f-11ee-9934-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=173984 Fakulteta za računalništvo in informatiko 0 0 0