internal void Blend(PersonalityTraits other, BoundedNumber weight, bool assertSecondaryHigher = false)
{
//if (Traits.HasFlag(Trait.All))
if (assertSecondaryHigher)
{
Bad_Good = Bad_Good.BlendToBounded(
other.Bad_Good,
other.Bad_Good > Bad_Good ?
weight : -weight
);
False_Honest = False_Honest.BlendToBounded(
other.False_Honest,
other.False_Honest > False_Honest ?
weight : -weight
);
Timid_Powerful = Timid_Powerful.BlendToBounded(
other.Timid_Powerful,
other.Timid_Powerful > Timid_Powerful ?
weight : -weight
);
}
else
{
Bad_Good = Bad_Good.BlendToBounded(other.Bad_Good, weight);
False_Honest = False_Honest.BlendToBounded(other.False_Honest, weight);
Timid_Powerful = Timid_Powerful.BlendToBounded(other.Timid_Powerful, weight);
}
}
internal static (Perception, Reaction) FromFirstImpression(PersonalityTraits other, Perception globalPerceptions, ushort verbID, ushort targetID, bool notTarget, float verbIntensity, TraitsVector reactorTraits)
{
// personaliy vs circumstance
var perceptions = new Perception(other, 1 - verbIntensity);
perceptions.Blend(globalPerceptions, 0.75f);
perceptions.CircumferentialValues = globalPerceptions.CircumferentialValues;
++perceptions.TotalPerceptions;
++globalPerceptions.TotalPerceptions;
//perceptions._personalFirstImpression = !notTarget;
//perceptions._firstImpressionIntensity = verbIntensity;
ObservedVerb verb = new ObservedVerb(verbID);
var actionTraits = verb.GetTraits().ApplyMagnitude(verbIntensity);
perceptions.AddVector(actionTraits);
return(
perceptions,
new Reaction(
(reactorTraits - actionTraits).SumToBounded(),
(perceptions - actionTraits).SumToBounded(),
actionTraits,
1f,
verbIntensity
)
);
}
internal void Blend(PersonalityTraits other, float weight)
{
//if (Traits.HasFlag(Trait.All))
Bad_Good = Bad_Good.BlendToBounded(other.Bad_Good, weight);
False_Honest = False_Honest.BlendToBounded(other.False_Honest, weight);
Timid_Powerful = Timid_Powerful.BlendToBounded(other.Timid_Powerful, weight);
}
public Reaction(UBoundedNumber agreement, UBoundedNumber surprise, UBoundedNumber significance, TraitsVector totalDissonance)
{
Agreement = agreement;
Surprise = surprise;
Significance = significance;
TotalDissonance = totalDissonance;
ExpressiveDissonance = null;
CharacterDissonance = null;
}
internal PersonalityTraits BlendToBounded(PersonalityTraits other, BoundedNumber weight)
{
//if (Traits.HasFlag(Trait.All))
return(new PersonalityTraits(
Bad_Good.BlendToBounded(other.Bad_Good, weight),
False_Honest.BlendToBounded(other.False_Honest, weight),
Timid_Powerful.BlendToBounded(other.Timid_Powerful, weight)
));
}
public Perception(PersonalityTraits other, float magnitudeOfFirstImpression = 0.25f)
{
TotalPerceptions = 0;
ObservedActions = new SortedDictionary <ushort, ObservedVerb>();
CircumferentialValues = new SortedDictionary <ushort, PersonalityTraits>();
Timid_Powerful = other.Timid_Powerful * magnitudeOfFirstImpression;
False_Honest = other.False_Honest.Blend(other.Timid_Powerful, 0.5f) * magnitudeOfFirstImpression;
Bad_Good = (-Timid_Powerful).Blend(False_Honest, 0.25f) * magnitudeOfFirstImpression;
Traits = Trait.All;
//_traits = this;
}
