Critical thresholds of benefit distribution in an extended snowdrift game model. (April 2022)
- Record Type:
- Journal Article
- Title:
- Critical thresholds of benefit distribution in an extended snowdrift game model. (April 2022)
- Main Title:
- Critical thresholds of benefit distribution in an extended snowdrift game model
- Authors:
- Li, Bin-Quan
Wu, Zhi-Xi
Guan, Jian-Yue - Abstract:
- Highlights: We introduce a model to study the evolution of inequality in the framework of snowdrift game. Inequality is generally stronger in social communities with fewer average interactions among the individuals, and weaker in the case of dense interactions. Introducing incentives and punishments makes it harder for cooperators to get a fair share of the profits. The simulation results confirm such theoretical analysis, in both the infinite unstructured populations and the finite structured populations. Abstract: Social inequality takes many forms, but its most basic form is that individuals give the least and get the most in return. In this paper, we introduce an extended model based on the snowdrift game model, involving the concept of inequality (unequal distribution of benefit). We calculated the critical threshold for the benefits distribution under the dominant cooperative strategy through numerical simulation and theoretical analysis. We illustrate the similarities and differences in the evolution of cooperation with and without incentives and punishments. Both theoretical and simulation results show that within the limited resource range, the larger the resource is, the larger the critical proportion of benefits that defectors can exploit, whether in unstructured or structured population. We also show that the inequality is stronger in social structures with sparse connections and weaker in those with dense connections. Moreover, we revealed that introducingHighlights: We introduce a model to study the evolution of inequality in the framework of snowdrift game. Inequality is generally stronger in social communities with fewer average interactions among the individuals, and weaker in the case of dense interactions. Introducing incentives and punishments makes it harder for cooperators to get a fair share of the profits. The simulation results confirm such theoretical analysis, in both the infinite unstructured populations and the finite structured populations. Abstract: Social inequality takes many forms, but its most basic form is that individuals give the least and get the most in return. In this paper, we introduce an extended model based on the snowdrift game model, involving the concept of inequality (unequal distribution of benefit). We calculated the critical threshold for the benefits distribution under the dominant cooperative strategy through numerical simulation and theoretical analysis. We illustrate the similarities and differences in the evolution of cooperation with and without incentives and punishments. Both theoretical and simulation results show that within the limited resource range, the larger the resource is, the larger the critical proportion of benefits that defectors can exploit, whether in unstructured or structured population. We also show that the inequality is stronger in social structures with sparse connections and weaker in those with dense connections. Moreover, we revealed that introducing incentives and punishments makes it harder for cooperators to get a fair share of the profits. … (more)
- Is Part Of:
- Chaos, solitons and fractals. Volume 157(2022)
- Journal:
- Chaos, solitons and fractals
- Issue:
- Volume 157(2022)
- Issue Display:
- Volume 157, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 157
- Issue:
- 2022
- Issue Sort Value:
- 2022-0157-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-04
- Subjects:
- Dominant strategy -- Fixation probability -- Snowdrift game -- Dynamics of evolution
Chaotic behavior in systems -- Periodicals
Solitons -- Periodicals
Fractals -- Periodicals
Chaotic behavior in systems
Fractals
Solitons
Periodicals
003.7 - Journal URLs:
- http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science/journal/09600779 ↗ - DOI:
- 10.1016/j.chaos.2022.111948 ↗
- Languages:
- English
- ISSNs:
- 0960-0779
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3129.716000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22278.xml