public Scenario.Context ChooseBehavior(IInputBroker broker, List <Scenario.IScenarioMember> targets, Scenario.DecisionHistory scores)
{
if (AgentArchetype == null)
{
return(null);
}
foreach (var set in AgentArchetype.BehaviorSets)
{
foreach (var behavior in set.EnabledBehaviors)
{
if (behavior.CanTargetOthers || behavior.CanTargetSelf)
{
foreach (var scenarioTarget in targets)
{
if (!behavior.CanTargetOthers && (scenarioTarget != this))
{
continue;
}
if (!behavior.CanTargetSelf && (scenarioTarget == this))
{
continue;
}
var context = new Scenario.Context
{
ChosenBehavior = behavior,
Target = scenarioTarget,
ThinkingAgent = this
};
scores.ScoredContexts.Add(context);
}
}
}
}
var scoredBehaviors = scores.ScoredContexts.Select(ctx => new { ctx, score = ctx.ChosenBehavior.Score(broker, ctx) }).OrderByDescending(x => x.score.FinalScore);
if (scoredBehaviors == null || !scoredBehaviors.Any())
{
return(null);
}
foreach (var behavior in scoredBehaviors.ToList())
{
behavior.ctx.BehaviorScore = behavior.score;
}
var topBehavior = scoredBehaviors.First();
if (topBehavior.score.FinalScore > 0.0f)
{
return(topBehavior.ctx);
}
return(null);
}
internal Scenario.ConsiderationScores Score(IInputBroker broker, Scenario.Context context)
{
var ret = new Scenario.ConsiderationScores
{
Considerations = new Dictionary <Consideration, Scenario.Score>()
};
double compensationFactor = 1.0 - (1.0 / (double)Considerations.Count);
double result = Weight;
ret.InitialWeight = Weight;
foreach (Consideration c in Considerations)
{
Scenario.Score considerationScore = c.Score(broker, context);
double modification = (1.0 - considerationScore.FinalScore) * compensationFactor;
considerationScore.FinalScore = considerationScore.FinalScore + (modification * considerationScore.FinalScore);
result *= considerationScore.FinalScore;
ret.Considerations.Add(c, considerationScore);
}
ret.FinalScore = result;
return(ret);
}
internal Scenario.Score Score(IInputBroker broker, Scenario.Context context)
{
var score = new Scenario.Score();
score.InputValue = broker.GetInputValue(Input, context);
score.InputValue = NormalizeInput(score.InputValue);
score.FinalScore = Curve.ComputeValue(score.InputValue);
return(score);
}
public double GetInputValue(Consideration consideration, Scenario.Context context)
{
if (context == null)
{
return(GetInputValue(consideration));
}
throw new NotImplementedException();
}
public double GetInputValue(InputAxis axis, Scenario.Context context)
{
if (context == null)
{
return(GetInputValue(axis));
}
// TODO - figure out what input this should link to and retrieve the corresponding value
return(0.0);
}
public double GetInputValue(InputAxis axis, Scenario.Context context)
{
return(0.0);
}