Package org.evoludo.simulator.modules

Class ATBT.ATBTPop

Object

IBSPopulation

IBSDPopulation

TBT.IBSPop

ATBTPop

Enclosing class:

ATBT

public class ATBT.ATBTPop
extends TBT.IBSPop

Extends TBT.TBTPop to take advantage of kaleidoscope initializations.

Field Summary

Fields inherited from class TBT.IBSPop

tsFit, tsFits, tsMean, tsTraits

Fields inherited from class IBSDPopulation

accuTypeScores, active, groupmodule, init, initCount, module, mutation, opponent, optimizeMoran, pairmodule, traitsCount, traitsNext

Fields inherited from class IBSPopulation

adjustScores, competition, compGroup, debugFocal, debugModel, debugModels, debugNModels, debugSame, distrMigrants, engine, fitness, groupScores, hasLookupTable, interaction, interactions, interGroup, isMultispecies, isNeutral, logger, map2fit, maxEffScoreIdx, maxFitness, maxScore, migrationType, minFitness, minScore, nMixedInter, nPopulation, nTraits, pAddwire, playerScoreAveraged, playerScoring, pMigration, pRewire, rng, scores, smallScores, staticmodule, sumFitness, tags, typeFitness, typeScores, VACANT

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	ATBTPop(ATBT module)	Create a new instance of the IBS model for asymmteric 2×2 games.

Method Summary

Modifier and Type	Method	Description
boolean	isMonomorphic()	Check if population is monomorphic.
private boolean	processEnvironmentalAsymmetryAt(int me, boolean changed)	Helper method to process environmental asymmetries.
boolean	updatePlayerAt(int me)	Perform a single update of the individual with index me.

Methods inherited from class TBT.IBSPop

check, getMeanFitness, getMeanTraits, getNMean, getStatus, getTraitNameAt, initKaleidoscope

Methods inherited from class IBSDPopulation

adjustGameScoresAt, adjustPairGameScoresAt, adjustScoreAt, adjustScoreAt, becomesVacantAt, checkConvergence, commitTraitAt, commitTraits, countTraits, debugMarkChange, doAdjustScores, encodeTraits, getFitnessAt, getFitnessHistogramData, getInit, getInitialTraits, getMonoScore, getPopulationSize, getScoreAt, getTraitAt, getTraitData, getTraits, getTraitsCount, haveSameTrait, init, initFrequency, initMono, initMono, initMono, initMutant, initStripes, initTemperature, initUniform, isConsistent, isSameTrait, isVacantAt, maybeMutateAt, maybeMutateMoran, mouseHitNode, mutateAt, playGroupGameAt, playPairGameAt, preferredPlayerBest, prepareTraits, reset, resetScoreAt, resetScores, resetTraits, restoreFitness, restoreTraits, setInit, setInitialTraits, setNextTraitAt, setOpponentPop, setScoreAt, setTraitAt, stripGroupVacancies, stripVacancies, swapTraits, updateFromModelAt, updateMixedMeanScores, updatePlayerBestResponse, updatePlayerEcologyAt, updatePlayerMoranBirthDeath, updatePlayerMoranDeathBirth, updatePlayerMoranDeathBirth, updatePlayerMoranImitate, updateScoreAt, updateScores, updateTraitCount, yalpGroupGameAt

Methods inherited from class IBSPopulation

checkGeometry, createCompetitionGeometry, createInteractionGeometry, debugScores, debugUpdatePopulationAt, doBirthDeathMigration, doDeathBirthMigration, doDiffusionMigration, doMigration, doSyncMigration, encodeFitness, encodeGeometry, encodeInteractions, generateGeometry, getCompetitionGeometry, getCompGroup, getFitness, getFitnessData, getFitnessNameAt, getFitnessNameAt, getInteractionGeometry, getInteractionsAt, getInterGroup, getMaxScore, getMigrationProb, getMigrationType, getMinScore, getModule, getPlayerScoreAveraged, getPlayerScoring, getPopulationUpdate, getScoreNameAt, getScores, getSpeciesUpdateRate, getSyncFraction, getTagAt, getTagData, getTagNameAt, getTags, getTotalFitness, migrateMoran, mouseHitNode, mutate, nextBinomial, parseGeometry, pickFitFocalIndividual, pickFitFocalIndividual, pickFitNeighborAt, pickFitNeighborAt, pickFocalIndividual, pickFocalIndividual, pickFocalSite, pickFocalSite, pickNeighborSiteAt, playGameAt, playGameSyncAt, processScore, random01, random01d, random0n, random0N, randomGaussian, removeScoreAt, removeScoreAt, restoreGeometry, restoreInteractions, setAddwire, setConsistencyCheck, setMaxEffScoreIdx, setMigrationProb, setMigrationType, setPlayerScoreAveraged, setPlayerScoring, setPopulationUpdate, setRewire, setSyncFraction, setTagAt, srandom, step, swapScoresAt, updateEffScoreRange, updateFitnessAt, updateMinMaxScores, updatePlayerAsync, updatePlayerAsyncAt, updatePlayerAt, updatePlayerBest, updatePlayerBestHalf, updatePlayerEcology, updatePlayerMoranBirthDeathAt, updatePlayerMoranDeathBirthAt, updatePlayerMoranImitateAt, updatePlayerSwap, updateProportionalAbs, updateReplicatorHalf, updateReplicatorPlus, updateScoreAt, updateScoreAt, updateThermal

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

ATBTPop

protected ATBTPop(ATBT module)

Create a new instance of the IBS model for asymmteric 2×2 games.

Parameters:

module - the module that defines the game

Method Details

updatePlayerAt

public boolean updatePlayerAt(int me)

Description copied from class: IBSPopulation

Perform a single update of the individual with index me. Returns true if the individual adopted the trait of the reference individual. Does not imply that the trait changed in discrete modules. Whether the individuals score is reset depends on IBSPopulation.playerScoring

Overrides:

updatePlayerAt in class IBSPopulation

Parameters:

me - the index of the focal individual

Returns:

true if trait of reference adopted

See Also:

• IBSPopulation.resetScoreAt(int)

isMonomorphic

public boolean isMonomorphic()

Description copied from class: IBSPopulation

Check if population is monomorphic.

Note: In models that admit vacant sites this does not imply a homogeneous (or absorbing) state of the population. Without vacant sites monomorphic states are absorbing, at least in the absence of mutations.

Overrides:

isMonomorphic in class IBSDPopulation

Returns:

true if population is monomorphic

See Also:

• Discrete.cloMonoStop

processEnvironmentalAsymmetryAt

private boolean processEnvironmentalAsymmetryAt(int me,
 boolean changed)

Helper method to process environmental asymmetries. Ensures that only traits can be adopted by offspring and processes environmental changes through feedback with trait types.

Important: This requires that traits are not yet committed.

Parameters:

me - the index of the focal individual

changed - the flag whether the focal individual changed trait

Returns:

true if trait and/or patch type has changed