get_fitness: Fitness function

In gamesGA: Genetic Algorithm for Sequential Symmetric Games

Description

This function assesses the fitness of each strategy through the use of a sequential game between each focal strategy and a fixed number of random opponents.

Usage

get_fitness(history, agents, payoffs, num_opponents, rounds, useC)

Arguments

history	A table of all possible prior moves of agents in sequence
agents	A list of agents whose fitness will be assessed
payoffs	A vector of the payoffs for CC (payoffs[1]), CD (payoffs[2]), DC (payoffs[3]) and DD (payoffs[4]) combinations of play choices from the focal player and the opponent
num_opponents	The number of random opponents to match the focal agent against
rounds	The number of rounds that will be played
useC	A TRUE or FALSE value that determines whether or not c will be called to calculate agent fitnesses

Value

fitness A vector in which elements correspond to the accumlated fitness (payoffs) of each agent

gamesGA documentation built on March 26, 2020, 6:57 p.m.