1.1 Fast coevolution (default)

Table 1.1: Parameter setting
parameter values
initial_population_humans 10
initial_population_plants 10
number_types_humans 30
number_types_plants 30
undirected_variation_humans 0.15
undirected_variation_plants 0.15
intrinsic_growth_rate_humans 0.04
intrinsic_growth_rate_plants 0.1
utility_per_capita_type_n_plants_to_humans 1.5
utility_per_capita_type_n_humans_to_plants 1
utility_per_capita_type_1_plants_to_humans 0.15
utility_per_capita_type_1_humans_to_plants 0
utility_other_to_type_n_humans 10
utility_other_to_type_n_plants 20
utility_other_to_type_1_humans 80
utility_other_to_type_1_plants 100
max_area 200
max_iterations 5000
reltol_exponential 6
coevolution_threshold 0.5
Output variables (values at end state)
Abbreviation Value
time_end 699
coevolution_coefficient_humans 0.6913054
coevolution_coefficient_plants 0.6763894
dependency_coefficient_humans 0.8855591
dependency_coefficient_plants 0.8058295
timing_humans 236
timing_plants 252
Plotting the end state, i.e. both populations become stationary

Figure 1.1: Plotting the end state, i.e. both populations become stationary

Plotting population trajectories with ggplot2

Figure 1.2: Plotting population trajectories with ggplot2

Animated GIF showing the sequence of states throughout the simulation (only on the html version)

Figure 1.3: Animated GIF showing the sequence of states throughout the simulation (only on the html version)