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Naslov:Dissimilarity-driven behavior and cooperation in the spatial public goods game
Avtorji:ID Fang, Yinhai (Avtor)
ID Perc Benko, Tina (Avtor)
ID Perc, Matjaž (Avtor)
ID Xu, Haiyan (Avtor)
Datoteke:.pdf RAZ_Fang_Yinhai_2019.pdf (5,13 MB)
MD5: AFB98FD2144313193BB13F0C0224DE1F
 
URL https://doi.org/10.1038/s41598-019-44184-5
 
Jezik:Angleški jezik
Vrsta gradiva:Znanstveno delo
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FNM - Fakulteta za naravoslovje in matematiko
Opis:In this paper, we explore the impact of four different types of dissimilarity-driven behavior on the evolution of cooperation in the spatial public goods game. While it is commonly assumed that individuals adapt their strategy by imitating one of their more successful neighbors, in reality only very few will be awarded the highest payoffs. Many have equity or equality preferences, and they have to make do with an average or even with a low payoff. To account for this, we divide the population into two categories. One consists of payoff-driven players, while the other consists of dissimilarity-driven players. The later imitate the minority strategy in their group based on four different dissimilaritydriven behaviors. The rule that most effectively promotes cooperation, and this regardless of the multiplication factor of the public goods game, is when individuals adopt the minority strategy only when their payoff is better than that of their neighbors. If the dissimilarity-driven players adopt the minority strategy regardless of the payoffs of others, or if their payoff is the same, the population typically evolves towards a neutral state where cooperators and defectors are equally common. This may be beneficial when the multiplication factor is low, when defectors would otherwise dominate. However, if the dissimilarity-driven players adopt the minority strategy only when their payoff is worse than that of their neighbors, then cooperation is not promoted at all in comparison to the baseline case in the absence of dissimilarity-driven behavior. We explore the pattern formation behind these results, and we discuss their wider implications for the better understanding of cooperative behavior in social groups.
Ključne besede:theoretical biology, evolution, agent-based modeling, complex system, network science, evolutionary game theory
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:13.02.2019
Datum sprejetja članka:09.05.2019
Datum objave:21.05.2019
Leto izida:2019
Št. strani:str. 1-9
Številčenje:Letn. 9, št. članka 7655
PID:20.500.12556/DKUM-90128 Novo okno
UDK:53
COBISS.SI-ID:24609544 Novo okno
DOI:10.1038/s41598-019-44184-5 Novo okno
ISSN pri članku:2045-2322
Datum objave v DKUM:26.02.2025
Število ogledov:0
Število prenosov:3
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
:
FANG, Yinhai, PERC BENKO, Tina, PERC, Matjaž in XU, Haiyan, 2019, Dissimilarity-driven behavior and cooperation in the spatial public goods game. Scientific reports [na spletu]. 2019. Vol. 9, no. članka 7655, p. 1–9. [Dostopano 19 april 2025]. DOI 10.1038/s41598-019-44184-5. Pridobljeno s: https://dk.um.si/IzpisGradiva.php?lang=slv&id=90128
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Gradivo je del revije

Naslov:Scientific reports
Skrajšan naslov:Sci. rep.
Založnik:Nature Publishing Group
ISSN:2045-2322
COBISS.SI-ID:18727432 Novo okno

Gradivo je financirano iz projekta

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:J4-9302-2018
Naslov:Raziskave medceličnih komunikacij v večceličnih skupnostih različnih izolatov bakterije iz rodu Bacillus
Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:J1-9112-2018
Naslov:Kvantna lokalizacija v kaotičnih sistemih
Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:P1-0403-2019
Naslov:Računsko intenzivni kompleksni sistemi

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:21.05.2019

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:teoretična biologija, evolucija, agentske simulacije, kompleksni sistem, omrežna znanost, evolucijska teorija iger


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