Interface Model.HasIBS.CGroups

All Superinterfaces:

Features, Features.Groups, Features.Pairs, Model.HasIBS, Model.HasIBS.CPairs, Model.HasIBS.MCPairs

All Known Subinterfaces:

Model.HasIBS.MCGroups

Enclosing interface:

Model.HasIBS

public static interface Model.HasIBS.CGroups
extends Model.HasIBS.CPairs, Features.Groups

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

Author:

Christoph Hauert

Nested Class Summary

Nested classes/interfaces inherited from interface Features

Features.Groups, Features.Multispecies, Features.Pairs, Features.Payoffs, Features.Static

Nested classes/interfaces inherited from interface Model.HasIBS

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

Method Summary

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

Methods inherited from interface Features

getTitle, isMultispecies, isStatic

Methods inherited from interface Features.Groups

getNGroup, isPairwise

Methods inherited from interface Model.HasIBS

createIBS

Methods inherited from interface Model.HasIBS.CPairs

pairScores, pairScores

Method Details

groupScores

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

Calculate the payoff/score for modules with interactions in groups 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 participants must be stored and returned in the array payoffs.

Note:

Only the first len*nTraits 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 among groups of individuals with multiple continuous traits (for groups with sizes nGroup>2, otherwise see Model.HasIBS.CPairs.pairScores(double, double[], int, double[])).

Parameters:

me - the trait of the focal individual

groupTraits - the traits of the group members

len - the number of members in the group

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

Returns:

the payoff/score for the focal individual