// Register all (const) factors in a provided repository
public static void RegisterFactors(
BrainRepository repo, Initializer initializer = null
)
{
foreach (Factor factor in Enum.GetValues(typeof(Factor)))
{
repo.RegisterTrait(new Trait(factor, initializer));
}
}
public IList <Effect> ObservationEffects(
InfluencedInteraction interaction, Character host,
ICollection <IEntity> targets,
BrainRepository repo
)
{
var effects = ChooseStronglyInfluencedEffects(repo, interaction, host);
//TODO: Change selection via host/other methods; with the addtion of the
//relationship module, this seems more reasonable
return(effects);
}
public IList <Effect> ReactionEffects(
InfluencedInteraction i,
Character host, // Unused
BrainRepository repo
)
{
var effects = ChooseStronglyInfluencedEffects(repo, i, host);
//TODO: Change selection via host/other methods; with the addtion of the
//relationship module, this seems more reasonable
return(effects);
}
public float ComboScore(
IEnumerable <State> state, Character host,
InfluencedInteraction interaction,
ICollection <IEntity> targets,
BrainRepository repo
)
{
float score = 0f;
int count = 0;
foreach (State s in interaction.strongStateInfluences.Values)
{
State.TransformedInstance currState
= host[s] as State.TransformedInstance;
if (currState == null)
{
continue;
}
score = currState.TransformedState;
foreach (State t in state)
{
if (t.Equals(s))
{
score += .25f;
}
}
count++;
}
if (count != 0)
{
score /= count;
}
//BehaviorEngine.Debug.Logger.Log("Calculated score");
score *= StabilityScore(state, host, interaction, targets, repo);
return(score);
}
private IList <Effect> ChooseStronglyInfluencedEffects(
BrainRepository repo,
InfluencedInteraction i,
Character host
)
{
// Return value
List <Effect> effects = new List <Effect>();
List <InfluencedEffect> unused = new List <InfluencedEffect>();
List <int> differentials = new List <int>();
var allEffects = new List <InfluencedEffect>(repo.Effects);
// Guarantee that default Effect will be different every time
Shuffle(allEffects);
int position = 0, total = allEffects.Count;
foreach (InfluencedEffect e in allEffects)
{
// Difference in influence (zero = the same)
int differential = 0;
List <float> traitValues = new List <float>();
List <float> stateValues = new List <float>();
foreach (var pair in i.strongTraitInfluences)
{
if (!e.strongTraitInfluences.ContainsKey(pair.Key))
{
differential++;
}
else
{
foreach (var instance in host.GetAttributeInstances())
{
if (instance.Prototype.Equals(pair.Value))
{
var val = instance as Trait.TransformedInstance;
traitValues.Add(val.TransformedState);
}
}
}
}
foreach (var pair in i.strongStateInfluences)
{
if (!e.strongStateInfluences.ContainsKey(pair.Key))
{
differential++;
}
else
{
foreach (var instance in host.GetAttributeInstances())
{
if (instance.Prototype.Equals(pair.Value))
{
var val = instance as State.TransformedInstance;
stateValues.Add(val.TransformedState);
}
}
}
}
if (differential == 0)
{
bool chosen = false;
float accumulatorVal = 0f;
float modTotal = 0f;
int numTraits = 0;
foreach (var m in e.Modifiers)
{
var f = m as FloatModifier;
float valCalc = 0f;
foreach (var traitVal in traitValues)
{
foreach (var stateVal in stateValues)
{
valCalc += stateVal;
}
numTraits++;
}
valCalc /= numTraits;
accumulatorVal += valCalc;
modTotal += f.offset;
}
accumulatorVal /= e.Modifiers.Count;
modTotal /= e.Modifiers.Count;
chosen
= (accumulatorVal < LOW_STABILITY &&
modTotal > 0 && modTotal < MOD_OFFSET_LOW) ||
(accumulatorVal > LOW_STABILITY && accumulatorVal < MIDPOINT &&
modTotal >= MOD_OFFSET_LOW) ||
(accumulatorVal > MIDPOINT && accumulatorVal < HI_STABILITY &&
modTotal <0f && modTotal> -MOD_OFFSET_LOW) ||
(accumulatorVal > HI_STABILITY &&
modTotal <= -MOD_OFFSET_LOW);
if (chosen)
{
effects.Add(e);
}
else
{
//TODO: Effect is not chosen; perhaps could be a useful point.
}
}
else
{
unused.Add(e);
differentials.Add(differential);
}
position++;
}
/*
* while(effects.Count == 0) {
* Shuffle(unused);
* int index = 0;
* double chanceTotal = (differentials[index] * total);
* double toTheEnd = ((double)(total - position)) / chanceTotal;
* double selectChance = random.NextDouble();
*
* // the values are always guaranteed to be non-negative
* if (selectChance > Math.Min(toTheEnd, effects.Count)) {
* effects.Add(unused[index]);
* }
* index++;
* }
*/
if (effects.Count != 1)
{
//TODO: Debug statement in case no effects or more than one
//effect is chosen
/*BehaviorEngine.Debug.Logger.Log(
* "Number of effects chosen: " + effects.Count
* );
*/
}
/*
* if(effects.Count == 0) {
* effects.Add(unused[0]);
* }
*/
return(effects);
}
private float StabilityScore(
IEnumerable <State> state, Character host,
InfluencedInteraction interaction,
ICollection <IEntity> targets,
BrainRepository repo
)
{
float ownScore = 0f;
int count = 0;
foreach (State s in state)
{
State.TransformedInstance currState
= host[s] as State.TransformedInstance;
ownScore += currState.TransformedState;
count++;
}
ownScore /= count;
float ease = .3f;
if (ownScore < LOW_STABILITY)
{
ease = .5f;
}
else
{
if (ownScore > HI_STABILITY)
{
ease = .1f;
}
}
var func = Transformations.EaseSquaredAtValue(ease);
var effects = ChooseStronglyInfluencedEffects(repo, interaction, host);
//List<FloatModifier> modifiers = new List<FloatModifier>();
float modifyVal = 0f;
foreach (Effect e in effects)
{
float currMod = 0f;
foreach (IModifier m in e.Modifiers)
{
FloatModifier floatMod = m as FloatModifier;
currMod = Math.Abs(floatMod.offset);
if (floatMod.Attribute.Equals(repo.GetState("anger")))
{
}
}
if (e.Modifiers.Count != 0)
{
currMod /= e.Modifiers.Count;
}
modifyVal += currMod;
}
if (effects.Count != 0)
{
modifyVal /= effects.Count;
}
ownScore = func(modifyVal);
if (targets == null)
{
//BehaviorEngine.Debug.Logger.Log("Score: " + ownScore);
return(ownScore);
}
float otherScore = 0f;
foreach (IEntity target in targets)
{
var attrs = target.GetAttributeInstances();
float stabilityValue = 0f;
float weight = 1f;
foreach (IAttributeInstance a in attrs)
{
NormalizedAttribute.Instance attr = a as NormalizedAttribute.Instance;
stabilityValue += attr.State;
}
stabilityValue /= attrs.Count;
weight = .3f;
if (stabilityValue <= LOW_STABILITY)
{
weight = .5f;
}
else
{
weight = .1f;
}
var f = Transformations.EaseSquaredAtValue(weight);
otherScore += f(modifyVal);
// Attempt to bias interaction towards people that crew will vote for
var crewmember = target as Character;
var hostCrew = host as Crewmember;
if (crewmember != null && hostCrew != null)
{
var chooseVote = hostCrew.ChooseVote();
//Will be null if relationship does not exist
if (chooseVote != null)
{
if (hostCrew.ChooseVote().Equals(crewmember))
{
otherScore *= 2;
//Debug.Logger.Log("Doubled, found vote");
}
}
}
}
if (targets.Count != 0)
{
otherScore /= targets.Count;
}
float score = (ownScore + otherScore) / 2;
//BehaviorEngine.Debug.Logger.Log("Score: " + score);
return(score);
}
