Coevolution of Strategy and Structure in Complex Networks with Dynamical Linking
Evolutionary Genomics (United States) · Harvard University
Abstract
We introduce a model in which individuals differ in the rate at which they seek new interactions with others, making rational decisions modeled as general symmetric two-player games. Once a link between two individuals has formed, the productivity of this link is evaluated. Links can be broken off at different rates. We provide analytic results for the limiting cases where linking dynamics is much faster than evolutionary dynamics and vice versa, and show how the individual capacity of forming new links or severing inconvenient ones maps into the problem of strategy evolution in a well-mixed population under a different game. For intermediate ranges, we investigate numerically the detailed interplay determined…
Citation impact
- FWCI
- 92.67
- Percentile
- 100%
- References
- 43
Authors
3Topics & keywords
- Coevolution
- Limiting
- Computer science
- Evolutionary game theory
- Statistical physics
- Scope (computer science)
- Population
- Dynamics (music)
- Decent work and economic growth