private static IEnumerable <CsvRecord> GetRecords(double wantedChooseProbability)
{
foreach (var votersAmount in Enumerable.Concat(new[] { 1 }, Enumerable.Range(1, 500).Select(i => i * 10)))
{
var naiveCrowdIQ = new NaiveDemocracySimulation().ComputeRightVoteProbability(new NaiveDemocracySimulation.Settings
{
VotersAmount = votersAmount,
WantedChooseProbability = wantedChooseProbability
});
var factorCrowdIQ = new FactorDemocracySimulation().ComputeRightVoteProbability(new FactorDemocracySimulation.Settings
{
VotersAmount = votersAmount,
WantedChooseProbability = wantedChooseProbability,
VoteFactorStrategy = new FactorDemocracySimulation.VoteFactorStrategyByOptimisticPercentile(),
});
Console.WriteLine("Voters " + votersAmount +
" | Naive " + naiveCrowdIQ.ToString("0.000") +
" | Factor " + factorCrowdIQ.ToString("0.000"));
yield return(new CsvRecord
{
VotersAmount = votersAmount,
NaiveCrowdIQ = naiveCrowdIQ,
FactorCrowdIQ = factorCrowdIQ
});
if (Math.Round(factorCrowdIQ, 2) >= 1 || Math.Round(factorCrowdIQ, 2) == 0)
{
break;
}
}
;
}
private static CsvRecord ComputeRecord(int votersAmount, double meanIQ, HackMode hackMode, double forcedWrongVotersPercentage)
{
var naiveCrowdIQ = new NaiveDemocracySimulation().ComputeRightVoteProbability(new NaiveDemocracySimulation.Settings
{
VotersAmount = votersAmount,
WantedChooseProbability = meanIQ,
ForcedWrongVotersPercentage = forcedWrongVotersPercentage,
HackMode = hackMode,
});
var optimisticPercentileWeightedCrowdIQ = new FactorDemocracySimulation().ComputeRightVoteProbability(new FactorDemocracySimulation.Settings
{
VotersAmount = votersAmount,
WantedChooseProbability = meanIQ,
ForcedWrongVotersPercentage = forcedWrongVotersPercentage,
HackMode = hackMode,
VoteFactorStrategy = new FactorDemocracySimulation.VoteFactorStrategyByOptimisticPercentile(),
});
var pessimisticPercentileWeightedCrowdIQ = new FactorDemocracySimulation().ComputeRightVoteProbability(new FactorDemocracySimulation.Settings
{
VotersAmount = votersAmount,
WantedChooseProbability = meanIQ,
ForcedWrongVotersPercentage = forcedWrongVotersPercentage,
HackMode = hackMode,
VoteFactorStrategy = new FactorDemocracySimulation.VoteFactorStrategyByPessimisticPercentile(),
});
var strictWeightedCrowdIQ = new FactorDemocracySimulation().ComputeRightVoteProbability(new FactorDemocracySimulation.Settings
{
VotersAmount = votersAmount,
WantedChooseProbability = meanIQ,
ForcedWrongVotersPercentage = forcedWrongVotersPercentage,
HackMode = hackMode,
VoteFactorStrategy = new FactorDemocracySimulation.VoteFactorStrategyByStrict2Groups(),
});
var record = new CsvRecord
{
HackMode = hackMode,
VotersAmount = votersAmount,
ForcedWrongVotersPercentage = forcedWrongVotersPercentage,
WantedMeanIQ = meanIQ,
NaiveCrowdIQ = naiveCrowdIQ,
OptimisticPercentileWeightedIQ = optimisticPercentileWeightedCrowdIQ,
PessimisticPercentileWeightedIQ = pessimisticPercentileWeightedCrowdIQ,
StrictWeightedCrowdIQ = strictWeightedCrowdIQ,
};
return(record);
}
private static IEnumerable <CsvRecordSummary> GetSummaryRecords()
{
foreach (var wantedChooseProbability in Enumerable.Range(0, 41).Select(i => i * 0.025).Reverse())
{
var naiveHumanIQ = new NaiveDemocracySimulation().ComputeRightVoteProbability(
new NaiveDemocracySimulation.Settings
{
VotersAmount = 1,
WantedChooseProbability = wantedChooseProbability
});
foreach (var votersAmount in new[] { 50, 100 }) // new[] { 5, 10, 25, 50, 75, 100, 150, 1000, 10000 })
{
var naiveCrowdIQ = new NaiveDemocracySimulation().ComputeRightVoteProbability(
new NaiveDemocracySimulation.Settings
{
VotersAmount = votersAmount,
WantedChooseProbability = wantedChooseProbability,
CombinationMode = NaiveDemocracySimulation.CombinationMode.Naive
});
var naiveGroupedCrowdIQ = new NaiveDemocracySimulation().ComputeRightVoteProbability(
new NaiveDemocracySimulation.Settings
{
VotersAmount = votersAmount,
WantedChooseProbability = wantedChooseProbability,
CombinationMode = NaiveDemocracySimulation.CombinationMode.Grouped
});
var threshold20CrowdIQ = new ThresholdDemocracySimulation().ComputeRightVoteProbability(
new ThresholdDemocracySimulation.Settings
{
VotersAmount = votersAmount,
WantedChooseProbability = wantedChooseProbability,
ThresholdQuantile = 0.2
});
var threshold50CrowdIQ = new ThresholdDemocracySimulation().ComputeRightVoteProbability(
new ThresholdDemocracySimulation.Settings
{
VotersAmount = votersAmount,
WantedChooseProbability = wantedChooseProbability,
ThresholdQuantile = 0.5
});
var optimisticPercentileWeightedCrowdIQ = new FactorDemocracySimulation().ComputeRightVoteProbability(
new FactorDemocracySimulation.Settings
{
VotersAmount = votersAmount,
WantedChooseProbability = wantedChooseProbability,
VoteFactorStrategy = new FactorDemocracySimulation.VoteFactorStrategyByOptimisticPercentile(),
});
var pessimisticPercentileWeightedCrowdIQ = new FactorDemocracySimulation().ComputeRightVoteProbability(
new FactorDemocracySimulation.Settings
{
VotersAmount = votersAmount,
WantedChooseProbability = wantedChooseProbability,
VoteFactorStrategy = new FactorDemocracySimulation.VoteFactorStrategyByPessimisticPercentile(),
});
var strict2GroupsWeightedCrowdIQ = new FactorDemocracySimulation().ComputeRightVoteProbability(
new FactorDemocracySimulation.Settings
{
VotersAmount = votersAmount,
WantedChooseProbability = wantedChooseProbability,
VoteFactorStrategy = new FactorDemocracySimulation.VoteFactorStrategyByStrict2Groups(),
});
Console.WriteLine("MeanIQ " + wantedChooseProbability.ToString("0.000") +
" | Voters " + votersAmount +
" | Naive " + naiveCrowdIQ.ToString("0.000") +
" | Factor " + optimisticPercentileWeightedCrowdIQ.ToString("0.000"));
yield return(new CsvRecordSummary
{
VotersAmount = votersAmount,
MeanIQ = naiveHumanIQ,
NaiveCrowdIQ = naiveCrowdIQ,
NaiveGroupedCrowdIQ = naiveGroupedCrowdIQ,
Threshold20IQ = threshold20CrowdIQ.RightVoteProbability,
Threshold50IQ = threshold50CrowdIQ.RightVoteProbability,
OptimisticPercentileWeightedCrowdIQ = optimisticPercentileWeightedCrowdIQ,
PessimisticPercentileWeightedCrowdIQ = pessimisticPercentileWeightedCrowdIQ,
Strict2GroupsWeightedCrowdIQ = strict2GroupsWeightedCrowdIQ,
});
}
;
}
}
