/// <summary>
/// Given a random model
/// set the weights : an array fill of random float ranging [-1; 1]
/// representing the detailed Belief of an agent
/// </summary>
/// <param name="model"></param>
/// <param name="length"></param>
/// <param name="beliefWeightLevel"></param>
/// <returns></returns>
public void InitializeWeights(RandomGenerator model, byte length, BeliefWeightLevel beliefWeightLevel)
{
float[] beliefBits;
switch (beliefWeightLevel)
{
case BeliefWeightLevel.NoWeight:
beliefBits = DiscreteUniform.Samples(length, 0, 0);
break;
case BeliefWeightLevel.RandomWeight:
beliefBits = model == RandomGenerator.RandomUniform
? ContinuousUniform.Samples(length, 0, RangeMax)
: DiscreteUniform.Samples(length, 0, RangeMax);
break;
case BeliefWeightLevel.FullWeight:
beliefBits = DiscreteUniform.Samples(length, 1, 1);
break;
default:
throw new ArgumentOutOfRangeException(nameof(beliefWeightLevel), beliefWeightLevel, null);
}
Weights = new Bits(beliefBits, 0);
}
public Belief(GraphMetaNetwork metaNetwork, IKnowledge knowledge, byte length, RandomGenerator model,
BeliefWeightLevel beliefWeightLevel) : this(metaNetwork, length, model, beliefWeightLevel)
{
if (knowledge == null)
{
throw new ArgumentNullException(nameof(knowledge));
}
Name = knowledge.Name;
KnowledgeId = knowledge.EntityId;
}
/// <summary>
/// Get the name of a BeliefWeightLevel
/// </summary>
/// <param name="level"></param>
/// <returns></returns>
public static string GetName(BeliefWeightLevel level)
{
return(level.ToString());
}
public Belief(GraphMetaNetwork metaNetwork, byte length, RandomGenerator model,
BeliefWeightLevel beliefWeightLevel, string name) : this(metaNetwork, length, model, beliefWeightLevel)
{
Name = name;
}
public Belief(GraphMetaNetwork metaNetwork, byte length, RandomGenerator model,
BeliefWeightLevel beliefWeightLevel) : base(metaNetwork)
{
Length = length;
InitializeWeights(model, length, beliefWeightLevel);
}
public static Belief CreateInstance(GraphMetaNetwork metaNetwork, IKnowledge knowledge, byte length, RandomGenerator model,
BeliefWeightLevel beliefWeightLevel)
{
return(new Belief(metaNetwork, knowledge, length, model, beliefWeightLevel));
}
public static Belief CreateInstance(GraphMetaNetwork metaNetwork, byte length, RandomGenerator model,
BeliefWeightLevel beliefWeightLevel, string name)
{
return(new Belief(metaNetwork, length, model, beliefWeightLevel, name));
}
