Spatial Game Theory (1.0.0)
This model is a spatial evolutionary game theory model in which animals with inherited red or blue phenotypes move, interact locally, gain or lose energy based on payoff structure, and reproduce across generations. Plants provide a stationary green component of the environment. The model can be used to examine how game payoffs, inheritance, and survival shape population and evolutionary dynamics over time.
Release Notes
This release introduces a spatial evolutionary game theory model in which animals with inherited red and blue phenotypes move through space, interact locally, gain or lose energy based on payoff structure, and reproduce across generations. Plants were included as stationary green agents that occupy the landscape and contribute an environmental component to local interactions.
Core model behavior now includes energy-based movement, local game interactions, phenotype-dependent reproduction, parenting costs, and survival costs. Offspring inherit alleles from both parents, allowing phenotype frequencies to change over time through differential survival and reproduction. The model therefore links local interaction outcomes to evolutionary change.
This version also includes plant energy regrowth, phenotype updating, generation tracking, offspring counts, and explicit scheduling of movement, interaction, reproduction, survival, and state updating within each tick. Overall, the model now provides a basic framework for exploring how payoff structure, inheritance, and demographic costs shape evolutionary dynamics in a spatial setting.
Associated Publications
Spatial Game Theory 1.0.0
Submitted by
Kristin Crouse
Published Nov 05, 2019
Last modified Apr 20, 2026
This model is a spatial evolutionary game theory model in which animals with inherited red or blue phenotypes move, interact locally, gain or lose energy based on payoff structure, and reproduce across generations. Plants provide a stationary green component of the environment. The model can be used to examine how game payoffs, inheritance, and survival shape population and evolutionary dynamics over time.
Release Notes
This release introduces a spatial evolutionary game theory model in which animals with inherited red and blue phenotypes move through space, interact locally, gain or lose energy based on payoff structure, and reproduce across generations. Plants were included as stationary green agents that occupy the landscape and contribute an environmental component to local interactions.
Core model behavior now includes energy-based movement, local game interactions, phenotype-dependent reproduction, parenting costs, and survival costs. Offspring inherit alleles from both parents, allowing phenotype frequencies to change over time through differential survival and reproduction. The model therefore links local interaction outcomes to evolutionary change.
This version also includes plant energy regrowth, phenotype updating, generation tracking, offspring counts, and explicit scheduling of movement, interaction, reproduction, survival, and state updating within each tick. Overall, the model now provides a basic framework for exploring how payoff structure, inheritance, and demographic costs shape evolutionary dynamics in a spatial setting.
