public void Initialize()
{
var agentId = new AgentId(1, 1);
_belief0 = new Belief(Network, 0, Model, BeliefWeightLevel.RandomWeight);
_belief1 = new Belief(Network, 1, Model, BeliefWeightLevel.RandomWeight);
_belief2 = new Belief(Network, 2, Model, BeliefWeightLevel.RandomWeight);
_actorBelief0 = new ActorBelief(agentId, _belief0.EntityId, BeliefLevel.NeitherAgreeNorDisagree);
_actorBelief1 = new ActorBelief(agentId, _belief1.EntityId, BeliefLevel.NeitherAgreeNorDisagree);
_actorBelief2 = new ActorBelief(agentId, _belief2.EntityId, BeliefLevel.NeitherAgreeNorDisagree);
}
public void Initialize()
{
MainOrganization.Models.Generator = RandomGenerator.RandomUniform;
_cognitiveArchitecture = new CognitiveArchitecture
{
KnowledgeAndBeliefs = { HasBelief = true, HasKnowledge = true },
MessageContent = { CanReceiveBeliefs = true, CanReceiveKnowledge = true },
InternalCharacteristics = { CanLearn = true, CanForget = true, CanInfluenceOrBeInfluence = true }
};
var modelEntity = new BeliefModelEntity {
On = true
};
_beliefsModel = new BeliefsModel(_agentId, modelEntity, _cognitiveArchitecture, Network,
MainOrganization.Models.Generator);
_belief = new Belief(Network, 1, MainOrganization.Models.Generator, BeliefWeightLevel.RandomWeight);
_actorBelief = new ActorBelief(Network.ActorBelief, _agentId, _belief.EntityId, BeliefLevel.NeitherAgreeNorDisagree);
_taskBits.SetMandatory(new byte[] { 0 });
_taskBits.SetRequired(new byte[] { 0 });
}
/// <summary>
/// Check belief required by a task against the worker expertise
/// </summary>
/// <param name="belief"></param>
/// <param name="taskBitIndexes">KnowledgeBit indexes of the task that must be checked against agent's beliefs</param>
/// <param name="actorBelief"></param>
/// <param name="mandatoryCheck">
/// The normalized score of the agent belief [-1; 1] at the first mandatoryIndex that is above
/// beliefThreshHoldForReacting
/// </param>
/// <param name="requiredCheck"></param>
/// <param name="mandatoryIndex"></param>
/// <param name="requiredIndex"></param>
/// <returns>0 if agent has no beliefs</returns>
public void CheckBelief(Belief belief, TaskKnowledgeBits taskBitIndexes, ActorBelief actorBelief,
ref float mandatoryCheck,
ref float requiredCheck, ref byte mandatoryIndex, ref byte requiredIndex)
{
if (taskBitIndexes is null)
{
throw new ArgumentNullException(nameof(taskBitIndexes));
}
if (belief is null)
{
throw new ArgumentNullException(nameof(belief));
}
// model is off
if (!IsAgentOn())
{
mandatoryCheck = 0;
requiredCheck = 0;
return;
}
// agent may don't have the belief at all
//var actorBelief = actorBeliefs?.GetActorBelief<ActorBelief>(belief.EntityId);
if (actorBelief == null)
{
mandatoryCheck = 0;
requiredCheck = 0;
return;
}
mandatoryCheck = actorBelief.Check(taskBitIndexes.GetMandatory(), out mandatoryIndex, belief,
ThresholdForReacting, true);
requiredCheck = actorBelief.Check(taskBitIndexes.GetRequired(), out requiredIndex, belief,
ThresholdForReacting, true);
}
public static void CheckRiskAversion(Belief belief, TaskKnowledgeBits taskBitIndexes, ActorBelief actorBelief,
ref float mandatoryCheck, ref byte mandatoryIndex, float threshold)
{
if (taskBitIndexes is null)
{
throw new ArgumentNullException(nameof(taskBitIndexes));
}
if (belief is null)
{
throw new NullReferenceException(nameof(belief));
}
// agent may don't have the belief at all
//var agentBelief = actorBeliefs?.GetActorBelief<ActorBelief>(belief.EntityId);
if (actorBelief == null)
{
mandatoryCheck = 0;
return;
}
mandatoryCheck = actorBelief.Check(taskBitIndexes.GetMandatory(), out mandatoryIndex, belief,
threshold, false);
}