Package org.evoludo.simulator.models

Interface IBS.HasIBS.CPairs

All Superinterfaces:

Features, Features.Pairs, IBS.HasIBS

All Known Subinterfaces:

IBS.HasIBS.CGroups, IBS.HasIBS.MCGroups

All Known Implementing Classes:

CSD, scanCSD

Enclosing interface:

IBS.HasIBS

public static interface IBS.HasIBS.CPairs
extends IBS.HasIBS, Features.Pairs

Modules that offer individual based simulation models with continuous traits and pairwise interactions must implement this interface.

Nested Class Summary

Nested classes/interfaces inherited from interface Features

Features.Groups, Features.Pairs, Features.Static

Nested classes/interfaces inherited from interface IBS.HasIBS

IBS.HasIBS.CGroups, IBS.HasIBS.CPairs, IBS.HasIBS.DGroups, IBS.HasIBS.DPairs, IBS.HasIBS.MCGroups, IBS.HasIBS.MCPairs

Method Summary

Modifier and Type	Method	Description
double	pairScores(double me, double[] groupTraits, int len, double[] groupPayoffs)	Calculate the payoff/score for modules with interactions in pairs and a single continuous trait.

Methods inherited from interface Features

isStatic

Methods inherited from interface Features.Pairs

isPairwise

Methods inherited from interface IBS.HasIBS

createIBS

Method Details

pairScores

double pairScores(double me,
 double[] groupTraits,
 int len,
 double[] groupPayoffs)

Calculate the payoff/score for modules with interactions in pairs and a single continuous trait. The focal individual has trait me and the traits of its len interaction partners are given in group. The payoffs/scores for each of the len opponent traits/strategies must be stored and returned in the array payoffs.

Note:

Only the first len entries in group are guaranteed to exist and have meaningful values. The population structure may restrict the size of the interaction group. len≤nGroup always holds.

Important:

must be overridden and implemented in subclasses that define game interactions between pairs of individuals (nGroup=2, pairwise=true), otherwise see IBS.HasIBS.CGroups.groupScores(double, double[], int, double[]).

Parameters:

me - the trait of the focal individual

groupTraits - the traits of the group members

len - the number of memebrs in the group

groupPayoffs - the array for returning the payoffs/scores for each group member

Returns:

the total (accumulated) payoff/score for the focal individual