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Avoiding the bullies: The resilience of cooperation among unequals

Authors :
Christoph Riedl
Michael Foley
Patrick Forber
Rory Smead
Source :
PLoS Computational Biology, Vol 17, Iss 4, p e1008847 (2021), PLoS Computational Biology
Publication Year :
2021

Abstract

Can egalitarian norms or conventions survive the presence of dominant individuals who are ensured of victory in conflicts? We investigate the interaction of power asymmetry and partner choice in games of conflict over a contested resource. Previous models of cooperation do not include both power inequality and partner choice. Furthermore, models that do include power inequalities assume a static game where a bully’s advantage does not change. They have therefore not attempted to model complex and realistic properties of social interaction. Here, we introduce three models to study the emergence and resilience of cooperation among unequals when interaction is random, when individuals can choose their partners, and where power asymmetries dynamically depend on accumulated payoffs. We find that the ability to avoid bullies with higher competitive ability afforded by partner choice mostly restores cooperative conventions and that the competitive hierarchy never forms. Partner choice counteracts the hyper dominance of bullies who are isolated in the network and eliminates the need for others to coordinate in a coalition. When competitive ability dynamically depends on cumulative payoffs, complex cycles of coupled network-strategy-rank changes emerge. Effective collaborators gain popularity (and thus power), adopt aggressive behavior, get isolated, and ultimately lose power. Neither the network nor behavior converge to a stable equilibrium. Despite the instability of power dynamics, the cooperative convention in the population remains stable overall and long-term inequality is completely eliminated. The interaction between partner choice and dynamic power asymmetry is crucial for these results: without partner choice, bullies cannot be isolated, and without dynamic power asymmetry, bullies do not lose their power even when isolated. We analytically identify a single critical point that marks a phase transition in all three iterations of our models. This critical point is where the first individual breaks from the convention and cycles start to emerge.<br />Author summary Individuals often differ in their ability to resolve conflicts in their favor, and this can lead to the emergence of hierarchies and dominant alphas. Such social structures present a serious risk of destabilizing cooperative social interactions or norms. Why work together to find food when a more aggressive or stronger individual can take all of it? In this paper we use game theory and agent-based modeling to investigate how cooperative behavior evolves in the presence of powerful bullies who have no incentive to cooperate. We show that when individuals can choose their interaction partners, bullies do not always destabilize cooperation. Instead, cooperative norms survive as individuals learn to avoid dominant individuals who become isolated in the population. When competitive ability itself depends dynamically on past success, complex cycles of coupled network-strategy-rank changes emerge: effective collaborators gain popularity and thus power, adopt aggressive behavior, get isolated, then lose power. Our results have important implications: in our modeled scenario the rich do not always get richer, the dominance of bullies can be broken, and inequality in accrued resources can be eliminated. Thus, our work provides new insight into potential sources of, and strategies for avoiding, resource inequality.

Subjects

Subjects :
FOS: Computer and information sciences
0301 basic medicine
Population Dynamics
Social Sciences
Systems Science
Cognition
Learning and Memory
Agent-Based Modeling
Sociology
Computer Science - Computer Science and Game Theory
Economics
Psychology
Prisoner's Dilemma
Cooperative Behavior
Biology (General)
media_common
Hierarchy
education.field_of_study
Ecology
Applied Mathematics
Simulation and Modeling
05 social sciences
Resilience, Psychological
Nonlinear Sciences - Adaptation and Self-Organizing Systems
Dominance (ethology)
Social Networks
Computational Theory and Mathematics
Modeling and Simulation
Physical Sciences
Psychological resilience
Adaptation and Self-Organizing Systems (nlin.AO)
Game theory
Network Analysis
Research Article
Computer Science and Game Theory (cs.GT)
Computer and Information Sciences
Physics - Physics and Society
QH301-705.5
media_common.quotation_subject
Decision Making
Population
FOS: Physical sciences
Physics and Society (physics.soc-ph)
Research and Analysis Methods
Network Resilience
FOS: Economics and business
Power (social and political)
Microeconomics
03 medical and health sciences
Cellular and Molecular Neuroscience
Game Theory
0502 economics and business
Genetics
Economics - Theoretical Economics
Learning
Humans
Interpersonal Relations
education
Quantitative Biology - Populations and Evolution
Molecular Biology
Ecology, Evolution, Behavior and Systematics
Population Biology
Cognitive Psychology
Populations and Evolution (q-bio.PE)
Biology and Life Sciences
Bullying
Prisoner's dilemma
Popularity
030104 developmental biology
FOS: Biological sciences
Cognitive Science
Theoretical Economics (econ.TH)
Mathematics
050203 business & management
Neuroscience

Details

Language :
English
Database :
OpenAIRE
Journal :
PLoS Computational Biology, Vol 17, Iss 4, p e1008847 (2021), PLoS Computational Biology
Accession number :
edsair.doi.dedup.....c26ffa45c0f3468181c4a102ce42e70b