Template:EvoLudoLab:RSP

Along the bottom of the applet there are several buttons to control the execution and the speed of the simulations - for details see the EvoLudo GUI documentation. Of particular importance are the parameters button and the data views pop-up list along the top. The former opens a panel that allows to set and change various parameters concerning the game as well as the population structure, while the latter displays the simulation data in different ways.

Color code:	Rock	Scissors	Paper
	New rock	New scissors	New paper

Payoff code:	Low High

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Data views

Strategy - Population	Snapshot of the spatial arrangement of strategies.
Strategy 3D - Population	Snapshot of the spatial arrangement of strategies in 3D.
Strategy - Mean	Time evolution of the strategy frequencies.
Strategy - Simplex \(S_3\)	Trajectories of strategy frequencies shown in the simplex \(S_3\). Double clicks in the interior of \(S_3\) set the initial frequencies of strategies.
Fitness - Population	Snapshot of the spatial distribution of payoffs.
Fitness 3D - Population	Snapshot of the spatial distribution of payoffs in 3D.
Fitness - Mean	Time evolution of average population payoff bounded by the minimum and maximum individual payoff.
Fitness - Histogram	Payoff distribution of each strategy in population.
Degree - Histogram	Degree distribution in structured populations.
Console Log	Displays messages, warnings and errors reported by the simulation engine plus information on the applet/application.

Game parameters

The list below describes only the parameters related to the rock-scissors-paper game and the population dynamics. Follow the link for a complete list and descriptions of all other parameters such as spatial arrangements or update rules on the player and population level.

--paymatrix <rr,rs,rp;sr,ss,sp;pr,ps,pp>

general \(3\times 3\) payoff matrix for the three strategic types \(R, S, P\).

--init <r,s,p>

initial frequencies of \(R, S, P\), respectively. Frequencies that do not add up to 100% are scaled accordingly.

--inittype <type>

type of initial configuration:

frequency

random distribution with given frequency

uniform

uniform random distribution

monomorphic

monomorphic initialization

mutant

single mutant in homogeneous population of another type. Mutant and resident types are determined by the types with the lowest and highest frequency, respectively (see option --init).

stripes

stripes of traits

kaleidoscopes

(optional) configurations that produce evolutionary kaleidoscopes for deterministic updates (players and population). Not available for all types of games.