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Naslov:Resolution of the stochastic strategy spatial prisoner's dilemma by means of particle swarm optimization
Avtorji:ID Zhang, Jianlei (Avtor)
ID Zhang, Chunyan (Avtor)
ID Chu, Tianguang (Avtor)
ID Perc, Matjaž (Avtor)
Datoteke:.pdf PLoS_ONE_2011_Zhang_et_al._Resolution_of_the_Stochastic_Strategy_Spatial_Prisoner_s_Dilemma_by_Means_of_Particle_Swarm_Optimization.PDF (627,24 KB)
MD5: CCB4644BF0FF5009B154D32FDC3B0F25
 
URL http://dx.plos.org/10.1371/journal.pone.0021787
 
Jezik:Angleški jezik
Vrsta gradiva:Znanstveno delo
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FNM - Fakulteta za naravoslovje in matematiko
Opis:We study the evolution of cooperation among selfish individuals in the stochastic strategy spatial prisoner's dilemma game. We equip players with the particle swarm optimization technique, and find that it may lead to highly cooperative states even if the temptations to defect are strong. The concept of particle swarm optimization was originally introduced within a simple model of social dynamics that can describe the formation of a swarm, i.e., analogous to a swarm of bees searching for a food source. Essentially, particle swarm optimization foresees changes in the velocity profile of each player, such that the best locations are targeted and eventually occupied. In our case, each player keeps track of the highest payoff attained within a local topological neighborhood and its individual highest payoff. Thus, players make use of their own memory that keeps score of the most profitable strategy in previous actions, as well as use of the knowledge gained by the swarm as a whole, to find the best available strategy for themselves and the society. Following extensive simulations of this setup, we find a significant increase in the level of cooperation for a wide range of parameters, and also a full resolution of the prisoner's dilemma. We also demonstrate extreme efficiency of the optimization algorithm when dealing with environments that strongly favor the proliferation of defection, which in turn suggests that swarming could be an important phenomenon by means of which cooperation can be sustained even under highly unfavorable conditions. We thus present an alternative way of understanding the evolution of cooperative behavior and its ubiquitous presence in nature, and we hope that this study will be inspirational for future efforts aimed in this direction.
Ključne besede:cooperation, prisoner's dilemma, particle swarm optimization, stochastic strategies
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Leto izida:2011
Št. strani:str. 1-7
Številčenje:Letn. 6, št. 7
PID:20.500.12556/DKUM-66293 Novo okno
ISSN:1932-6203
UDK:530.16
COBISS.SI-ID:18703112 Novo okno
DOI:10.1371/journal.pone.0021787 Novo okno
ISSN pri članku:1932-6203
NUK URN:URN:SI:UM:DK:EVQEXC3X
Datum objave v DKUM:19.06.2017
Število ogledov:1135
Število prenosov:375
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
Področja:Ostalo
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Gradivo je del revije

Naslov:PloS one
Založnik:Public Library of Science
ISSN:1932-6203
COBISS.SI-ID:2005896 Novo okno

Gradivo je financirano iz projekta

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:Z1-2032
Naslov:Fizika konfliktov in njihova razrešitev

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:19.06.2017

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:kooperacija, dilema zapornika, mnogo-delčna optimizacija, naključne strategije


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