/// <summary>
/// </summary>
/// <param name="agentId"></param>
/// <param name="models"></param>
/// <param name="knowledgeNetwork"></param>
/// <param name="entityKnowledgeNetwork">ActorKnowledgeNetwork, ResourceKnowledgeNetwork depending on the agent</param>
/// <param name="cognitiveArchitecture"></param>
/// <param name="model"></param>
/// <param name="randomLevel"></param>
public LearningModel(IAgentId agentId, MainOrganizationModels models, OneModeNetwork knowledgeNetwork,
TwoModesNetwork <IEntityKnowledge> entityKnowledgeNetwork,
CognitiveArchitecture cognitiveArchitecture, RandomGenerator model, byte randomLevel)
{
if (models == null)
{
throw new ArgumentNullException(nameof(models));
}
if (cognitiveArchitecture == null)
{
throw new ArgumentNullException(nameof(cognitiveArchitecture));
}
models.Learning.CopyTo(this);
_agentId = agentId;
TasksAndPerformance = cognitiveArchitecture.TasksAndPerformance;
_internalCharacteristics = cognitiveArchitecture.InternalCharacteristics;
_knowledgeNetwork = knowledgeNetwork;
_entityKnowledgeNetwork =
entityKnowledgeNetwork ?? throw new ArgumentNullException(nameof(entityKnowledgeNetwork));
_randomLevel = randomLevel;
if (!cognitiveArchitecture.InternalCharacteristics.CanLearn ||
!cognitiveArchitecture.KnowledgeAndBeliefs.HasKnowledge)
{
// Agent is not concerned by this model
On = false;
}
_model = model;
}
public CognitiveArchitecture()
{
KnowledgeAndBeliefs = new KnowledgeAndBeliefs();
InternalCharacteristics = new InternalCharacteristics();
TasksAndPerformance = new TasksAndPerformance();
MessageContent = new MessageContent();
InteractionCharacteristics = new InteractionCharacteristics();
InteractionPatterns = new InteractionPatterns();
}
/// <summary>
/// Clone the Influentialness for a specific agent with a random value between [InfluentialnessRateMin,
/// InfluentialnessRateMax]
/// </summary>
/// <returns></returns>
public static float NextInfluenceability(InternalCharacteristics internalCharacteristics)
{
if (internalCharacteristics == null)
{
throw new ArgumentNullException(nameof(internalCharacteristics));
}
return(ContinuousUniform.Sample(internalCharacteristics.InfluenceabilityRateMin,
internalCharacteristics.InfluenceabilityRateMax));
}
/// <summary>
/// Add an agentId's Knowledge to the network
/// </summary>
/// <param name="knowledgeId"></param>
/// <param name="level"></param>
/// <param name="internalCharacteristics"></param>
public void AddKnowledge(IAgentId knowledgeId, KnowledgeLevel level,
InternalCharacteristics internalCharacteristics)
{
if (internalCharacteristics == null)
{
throw new ArgumentNullException(nameof(internalCharacteristics));
}
AddKnowledge(knowledgeId, level, internalCharacteristics.MinimumRemainingKnowledge,
internalCharacteristics.TimeToLive);
}
public void CopyTo(CognitiveArchitecture cognitive)
{
if (cognitive is null)
{
throw new ArgumentNullException(nameof(cognitive));
}
KnowledgeAndBeliefs.CopyTo(cognitive.KnowledgeAndBeliefs);
InternalCharacteristics.CopyTo(cognitive.InternalCharacteristics);
TasksAndPerformance.CopyTo(cognitive.TasksAndPerformance);
MessageContent.CopyTo(cognitive.MessageContent);
InteractionCharacteristics.CopyTo(cognitive.InteractionCharacteristics);
InteractionPatterns.CopyTo(cognitive.InteractionPatterns);
}
public void CopyTo(InternalCharacteristics internalCharacteristics)
{
if (internalCharacteristics is null)
{
throw new ArgumentNullException(nameof(internalCharacteristics));
}
#region Learning
internalCharacteristics.CanLearn = CanLearn;
#endregion
#region Risk aversion
internalCharacteristics.RiskAversionLevel = RiskAversionLevel;
#endregion
#region Forgetting
internalCharacteristics.CanForget = CanForget;
internalCharacteristics.ForgettingMean = ForgettingMean;
internalCharacteristics.ForgettingStandardDeviation = ForgettingStandardDeviation;
internalCharacteristics.PartialForgetting = PartialForgetting;
internalCharacteristics.PartialForgettingRate = PartialForgettingRate;
internalCharacteristics.ForgettingSelectingMode = ForgettingSelectingMode;
internalCharacteristics.MinimumRemainingKnowledge = MinimumRemainingKnowledge;
internalCharacteristics.TimeToLive = TimeToLive;
#endregion
#region Influence
internalCharacteristics.CanInfluenceOrBeInfluence = CanInfluenceOrBeInfluence;
internalCharacteristics.InfluenceabilityRateMax = InfluenceabilityRateMax;
internalCharacteristics.InfluenceabilityRateMin = InfluenceabilityRateMin;
internalCharacteristics.InfluentialnessRateMax = InfluentialnessRateMax;
internalCharacteristics.InfluentialnessRateMin = InfluentialnessRateMin;
#endregion
}
