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Title:Vpliv kompleksnih interakcij na razvoj sodelovanja v igri javnih dobrin
Authors:ID Duh, Maja (Author)
ID Gosak, Marko (Author)
ID Perc, Matjaž (Author)
Files:.pdf The_Impact_of_Complex_Interactions_on-Duh-2025.pdf (5,24 MB)
MD5: E04E567C36E96EAAD14C6B5CC247904C
 
URL https://journals.um.si/index.php/anali-pazu/article/view/5658
 
Language:Slovenian
Work type:Scientific work
Typology:1.04 - Professional Article
Organization:UZUM - University of Maribor Press
FNM - Faculty of Natural Sciences and Mathematics
MF - Faculty of Medicine
Abstract:Pojav in obstoj sodelovanja med sebičnimi posamezniki je eden najpomembnejših izzivov, ki še vedno vzbuja zanimanje znanstvenikov iz različnih raziskovalnih področij. Ključno orodje tovrstnih raziskav je postala evolucijska teorija iger, ki ponuja zanesljiv teoretični okvir za opis evolucijske dinamike strategij v družbenih dilemah. Hkrati pa napredki v znanosti o omrežjih bistveno izboljšujejo naše razumevanje številnih kompleksnih sistemov v realnem svetu, vključno z razvojem sodelovanja v skupinskih odločitvah in kolektivnem delovanju. Pri tem pa je zelo pomembno, kako so posamezniki vpeti v družbo. Raziskave, narejene v zadnjih treh desetletjih, so pokazale, da je struktura družbenih omrežij eden ključnih dejavnikov pri določanju uspešnosti sodelovanja. Ker se posamezniki v večini realnih situacij lahko premikajo, ima pomemben vpliv na razvoj kooperacije tudi mobilnost oziroma mešanje populacije. Osrednji cilj naših raziskav je bil preučiti, kako različna omrežja interakcij in mešanja igralcev vplivajo na evolucijo sodelovanja v igri javnih dobrin.
Keywords:evolucijska teorija iger, igra javnih dobrin, kompleksna omrežja, večplastna omrežja, Monte Carlo simulacije
Publication status:Published
Publication version:Version of Record
Submitted for review:23.01.2025
Publication date:28.11.2025
Place of publishing:Murska Sobota
Publisher:Univerza v Mariboru, Univerzitetna založba
Year of publishing:2025
Number of pages:17
Numbering:Letn.15, št.1/2
PID:20.500.12556/DKUM-97231 New window
UDC:53
ISSN on article:2820-364X
COBISS.SI-ID:261912835 New window
DOI:10.18690/analipazu.15.1-2.1-17.2025 New window
Publication date in DKUM:24.02.2026
Views:215
Downloads:11
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Anali PAZU
Publisher:Združenje Pomurska akademsko znanstvena unija, Združenje Pomurska akademsko znanstvena unija, Univerzitetna založba Univerze v Mariboru
ISSN:2232-416X
COBISS.SI-ID:257553152 New window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

Language:English
Title:The Impact of Complex Interactions on the Evolution of Cooperation in the Public Goods Game
Abstract:The emergence and persistence of cooperation among selfish individuals remain one of the most significant challenges that continues to intrigue scientists across various research fields. Evolutionary game theory has become a key tool in these studies, providing a robust theoretical framework to describe the evolutionary dynamics of strategies in social dilemmas. Simultaneously, advances in network science have significantly enhanced our understanding of numerous complex systems in the real world, including the development of cooperation in group decision-making and collective actions. A critical factor in this context is how individuals are embedded within society. Research over the past decades has showed that social network structure critically impacts cooperation. Moreover, as individuals are often mobile in most real-world scenarios, mobility and population mixing also play a crucial role in the evolution of cooperation. The primary aim of our study was to examine how different interaction networks and player mixing influence the evolution of cooperation in the public goods game.
Keywords:evolutionary game theory, public goods game, complex networks, multilayer networks, Monte Carlo simulations


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  1. Anali PAZU

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