2010/02/28 by Tian Qiu, Tarik Hadzibeganovic, Guang Chen +2 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · Physics and Astronomy · Psychology · Social Sciences · #Altruism (biology) #Artificial intelligence #Component (thermodynamics) #Computer science #Economics #Evolution and Genetic Dynamics #Evolutionary Game Theory and Cooperation #Invariant (physics) #Mathematical economics #Mathematics #Mechanism (biology) #Microeconomics #Noise (video) #Opinion Dynamics and Social Influence #Physics #Psychology #Social psychology #Stability (learning theory) #Statistical physics #Stochastic game #Value (mathematics) #cs.GT #physics.comp-ph #physics.soc-ph #q-bio.PE
paper · pdf · doi:10.1016/j.cpc.2010.08.018
7 pages, 6 figures, 1 table
arxiv created 2010/06/21 · openalex publication_date 2010/08/27 · arxiv updated 2015/05/18 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05
Cooperation in the evolutionary snowdrift game with a self-questioning updating mechanism is studied on annealed and quenched small-world networks with directed couplings. Around the payoff parameter value r=0.5, we find a size-invariant symmetrical cooperation effect. While generally suppressing cooperation for r>0.5 payoffs, rewired networks facilitated cooperative behavior for r<0.5. Fair amounts of noise were found to break the observed symmetry and further weaken cooperation at relatively large values of r. However, in the absence of noise, the self-questioning mechanism recovers symmetrical behavior and elevates altruism even under large-reward conditions. Our results suggest that an updating mechanism of this type is necessary to stabilize cooperation in a spatially structured environment which is otherwise detrimental to cooperative behavior, especially at high cost-to-benefit ratios. Additionally, we employ component and local stability analyses to better understand the nature of the manifested dynamics.