Dominance Sharing Assessment

Dominance Sharing Assessment evaluates the evolutionary dynamics of sharing and dominance by modeling iterated Hawk-Dove interactions to assess how resource holding potentials (RHPs), assessment strategies, and cost of fighting influence the evolutionary stability of strategies.


Key Features:

  • Iterated Hawk-Dove Model: Uses an iterated version of the Hawk-Dove game to represent conflict resolution among individuals with varying RHPs.
  • Numerical Simulations: Conducts extensive numerical simulations to determine conditions under which sharing or dominance strategies become evolutionarily stable.
  • Resource Holding Potentials (RHPs): Examines how differences in RHPs affect the propensity for conflict versus cooperation between individuals.
  • Cost of Fighting: Integrates explicit costs of fighting to evaluate their effects on conflict duration, outcomes, and subsequent relationship stability.
  • Assessment Strategies: Explores limited assessment periods and alternative assessment strategies animals may use to estimate opponents' RHPs without engaging in costly fights.

Scientific Applications:

  • Conflict resolution in resource competition: Analyzes strategies animals use to resolve contests over resources under varying RHPs and fighting costs.
  • Evolutionary stability of social behaviors: Investigates conditions favoring sharing, dominance hierarchies, or alternative adaptive strategies using iterated game dynamics.
  • Scenario simulation and comparative analysis: Simulates different ecological and behavioral scenarios to compare when cooperative versus competitive behaviors are favored.
  • Theoretical exploration of social structure evolution: Supports theoretical studies on the evolution of conflict resolution mechanisms across species.

Methodology:

Implements an iterated Hawk-Dove game framework and extensive numerical simulations that vary RHPs, assessment strategies, and cost-of-fighting parameters to evaluate strategy stability.

Topics

Details

Programming Languages:
MATLAB
Added:
1/14/2020
Last Updated:
12/22/2020

Operations

Publications

Hall CL, Porter MA, Dawkins MS. Dominance, sharing, and assessment in an iterated Hawk–Dove game. Journal of Theoretical Biology. 2020;493:110101. doi:10.1016/j.jtbi.2019.110101. PMID:31816295.

PMID: 31816295
Funding: - Science Foundation Ireland: 12/IA/1683