// Bayes likelihood for four condition values and one action value
// For each possible action value, call this with a specific set of four
// condition values, and pick the action that returns the highest
// likelihood as the most likely action to take, given the conditions.
double CalcBayes(int[] contValues, int[] discValues, bool outcome)
{
int doIt = outcome ? 0 : 1;
double like = 1.0;
for (int i = 0; i < discreteConditions.Length; i++)
{
double[,] props = discreteConditions[i].GetProportions();
//Debug.Log( "Props: " + props );
like *= props[discValues[i], doIt];
//Debug.Log( "Like: " + like );
}
for (int i = 0; i < continuousConditions.Length; i++)
{
double mean = continuousConditions[i].GetMean(doIt);
double stdDev = continuousConditions[i].GetStdDev(doIt);
//Debug.Log( "Mean: " + mean );
//Debug.Log( "StdDev: " + stdDev );
like *= GauProb(mean, stdDev, contValues[i]);
//Debug.Log( "Like: " + like );
}
//Debug.Log( "Outcome: " + outcomeAction.GetProportion( doIt ) );
like *= outcomeAction.GetProportion(doIt);
//Debug.Log( "Like: " + like );
return(like);
}
