prikaz prve stranice dokumenta Prilagodljivi autonomni agent
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undergraduate thesis
Prilagodljivi autonomni agent
2017. urn:nbn:hr:166:916170
Glušević, Christina Paula
University of Split
Faculty of Science
Department of Informatics

Cite this document

Glušević, C. P. (2017). Prilagodljivi autonomni agent (Undergraduate thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:916170

Glušević, Christina Paula. "Prilagodljivi autonomni agent." Undergraduate thesis, University of Split, Faculty of Science, 2017. https://urn.nsk.hr/urn:nbn:hr:166:916170

Glušević, Christina Paula. "Prilagodljivi autonomni agent." Undergraduate thesis, University of Split, Faculty of Science, 2017. https://urn.nsk.hr/urn:nbn:hr:166:916170

Glušević, C. P. (2017). 'Prilagodljivi autonomni agent', Undergraduate thesis, University of Split, Faculty of Science, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:166:916170

Glušević CP. Prilagodljivi autonomni agent [Undergraduate thesis]. Split: University of Split, Faculty of Science; 2017 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:166:916170

C. P. Glušević, "Prilagodljivi autonomni agent", Undergraduate thesis, University of Split, Faculty of Science, Split, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:166:916170

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Metadata
TitlePrilagodljivi autonomni agent
Title (english)Adaptable autonomous agent
AuthorChristina Paula Glušević
MentorSaša Mladenović (mentor)
Committee memberSaša Mladenović (predsjednik povjerenstva)
Committee memberGoran Zaharija (član povjerenstva)
Committee memberDivna Krpan (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Informatics)
Split
Defense date and country2017-09-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu zadatak je realizirati prilagodljivog autonomnog agenta koristeći evolucijske algoritme. U prvom dijelu predstavljeni su evolucijski algoritmi i ideja iza njih. Najopsežnija vrsta evolucijskih algoritama je genetski algoritam koji je detaljnije obrađen u drugom poglavlju, a u trećem poglavlju dan je kratak pregled ostalih evolucijskih algoritama. U zadnjem, četvrtom poglavlju opisana je simulacija vezana za ovaj rad. U realizaciji prilagodljivog autonomnog agenta koristio se genetski algoritam. Simulacija je napravljena u NetLogo višeagentskom programibilnom okruženju, cilj agenta je naučiti se kretati po jednostavnom labirintu. Na kraju rada predstavljeni su rezultati izvođenja simulacije s različitim parametrima te uspoređeni s optimalnim rješenjem.
Abstract (english)
In this paper the assignment was to realize an adaptable autonomous agent using evolutionary algorithms. The first part introduces evolutionary algorithms and the ideas behind them. In the second part the most common type of evolutionary algorithms is discussed – genetic algorithm and in the third part a brief overview of the other evolutionary algorithms is given. The last part describes the simulation related to this paper. In the implementation of the adaptable autonomous agent genetic algorithm was used. The simulation is made in NetLogo, a multi-agent programmable environment and the goal of the agents is to learn how to move around a simple labyrinth. At the end of the paper the results of the simulation using different parameters are presented and compared with the optimal solution.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:916170
Study programmeTitle: Computer Science
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2018-04-27 15:28:43