Evolutionary snowdrift game with loners
Li-Xin Zhong, Da-Fang Zheng, B. Zheng, Chen Xu, P. M. Hui
Abstract
The effects of an additional strategy or character called loner in the snowdrift game are studied in a well-mixed population or fully-connected network and in a square lattice. The snowdrift game, which is a possible alternative to the prisoner's dilemma game in studying cooperative phenomena in competing populations, consists of two types of strategies, C (cooperators) and D (defectors). In a fully-connected network, it is found that either C lives with D or the loners take over the whole population. In a square lattice, three possible situations are found: a uniform C-population, C lives with D, and the coexistence of all three characters. The presence of loners is found to enhance cooperation in a square lattice by enhancing the payoff of cooperators. The results are discussed in terms of the effects in restricting a player to compete only with his nearest neighbors in a square lattice, as opposed to competing with all players in a fully-connected network.
Create a lesson
Related papers
Modeling of Mobility and Energy Policies in an Agent-Based Framework: Case Studies for Chicago Region in 2050
Md Rakibul Alam, Omer Verbas, Taner Cokyasar et al.
Modeling microbiome dynamics on social networks: how between-host transmission shapes within-host evolution
Longmei Shu, Feng Fu
Rock, Paper, Scissors, ... Dynamite - A Model of Disruption from New Technologies
Andrew J. Lohn
Does the Power-Law Advantage in the Tails Outweigh the Global q-Gaussian Description?
Eduardo Boor, Roberto da Silva, Joao Carlos Schmitt de Siqueira et al.
China's Shrinking Home Bias and Rising Disruptive Impact: Evidence from a Global Citation Network Analysis
Nan Deng, Zheng Ma, Xiaohui Liu
The Mechanics of Democratic Dominance: A System Dynamics Paradigm for Dynamic Consent Engineering
Muhammad Sukri Bin Ramli