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package org.singinst.uf.model;
import java.awt.Color;
import org.singinst.uf.math.MathUtil;
public class AiRelation extends YearwiseCalculationRelation {
public boolean displayHtml;
public AiRelation(Node node) {
super(node);
// this.displayHtml = displayHtml;
}
@Override
protected Calculation getCalculation(double year) {
return new MultiplicationCalculation("Probability of either sort of AI by year " + (int) year,
probabilityAiIfAiIsPossible(year),
probabilityAiIsPossible());
}
private Calculation probabilityAiIfAiIsPossible(final double year) {
return new Calculation("Probability of AI (if AI is possible) by year " + (int) year) {
@Override
protected double rawEvaluate(StringBuilder htmlConsole) {
return MathUtil.expc(
MathUtil.clog(
ScalarValueHolder.findById(NodeIDString.C1_5, ScalarSubIDString.yearProbabilityID(year)).evaluate(new StringBuilder())
/ probabilityAiIsPossible().evaluate()
)
+ MathUtil.clog(getNonNeuromorphicAiCalculationForYear(year).evaluate())
);
}
@Override
public Color getColor() {
return Color.BLUE;
}
};
/* ScalarValueHolder.get(NodeIDString.C1_5, yearScalarName(year)),
getNonNeuromorphicAiCalculationForYear(year)) {
@Override
protected double rawEvaluate(StringBuilder htmlConsole) {
double probabilityOfNot = 1;
for (Evaluable calculation : getCalculations()) {
probabilityOfNot *= (1 - calculation.evaluate(htmlConsole));
}
htmlConsole.append(getDescription());
return 1 - probabilityOfNot;
}
};*/
}
private Calculation getNonNeuromorphicAiCalculationForYear(final double year) {
return new Calculation("Probability that non-neuromorphic AI will be created by year " + year, false) {
@Override
protected double rawEvaluate(StringBuilder htmlConsole) {
double mean = ScalarValueHolder.findById(NodeIDString.Q1_6, ScalarSubIDString.MEAN).getValue();
double stdDev = ScalarValueHolder.findById(NodeIDString.Q1_6, ScalarSubIDString.STD_DEV).getValue();
return MathUtil.cumulativeNormalDistribution(mean, stdDev, Math.log10(year - ModelUtil.ANCHOR_FAR_YEAR));
}
};
}
}
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