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Updated: May 14, 2026

A Quantitative Fitness Analysis Workflow
Published on: August 13, 2012
Inclusive and personal fitness in synergistic evolutionary games on graphs
1Department of Math & Stats, Queen's University, Kingston, ON, Canada K7L 3N6. Peter.taylor@queensu.ca
Abstract:
I study the evolution of a pair of competing behavioural alleles in a finite graph-structured population when there are non-additive or "synergistic" fitness effects. I begin with the Price equation and extend it to both a personal-fitness and an inclusive-fitness formulation. I thereby obtain an extension of "Hamilton's Rule" to synergistic effects and I calculate and interpret the generalized relatedness coefficients. I present an example of the analysis in a cycle graph with 4 nodes.
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