/// <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 Knowledge(GraphMetaNetwork metaNetwork, MainOrganizationModels models, string name, byte length) : base(
metaNetwork, name)
{
Length = length;
if (length > Bits.MaxBits)
{
throw new ArgumentOutOfRangeException("Length should be <= " + Bits.MaxBits);
}
_models = models ?? throw new ArgumentNullException(nameof(models));
AddAssociatedBelief();
}
public Database(GraphMetaNetwork metaNetwork, MainOrganizationModels models, CommunicationTemplate medium,
IClassId classId) : base(metaNetwork, classId)
{
if (metaNetwork is null)
{
throw new ArgumentNullException(nameof(metaNetwork));
}
if (models is null)
{
throw new ArgumentNullException(nameof(models));
}
SetCognitiveArchitecture(medium);
// There is no random level for database
_learningModel = new LearningModel(EntityId, models, MetaNetwork.Knowledge, MetaNetwork.ResourceKnowledge,
CognitiveArchitecture, models.Generator, 0);
_forgettingModel =
new ForgettingModel(EntityId, MetaNetwork.ResourceKnowledge, CognitiveArchitecture, models, 0);
}
public static Database CreateInstance(GraphMetaNetwork metaNetwork, MainOrganizationModels models, CommunicationTemplate medium,
IClassId classId)
{
return(new Database(metaNetwork, models, medium, classId));
}
public static WikiEntity CreateInstance(GraphMetaNetwork metaNetwork, MainOrganizationModels models)
{
return(new WikiEntity(metaNetwork, models));
}
private WikiEntity(GraphMetaNetwork metaNetwork, MainOrganizationModels models) : base(metaNetwork, models,
new ViaPlatformTemplate(), ClassId)
{
}
public static Knowledge CreateInstance(GraphMetaNetwork metaNetwork, MainOrganizationModels models, string name, byte length)
{
return(new Knowledge(metaNetwork, models, name, length));
}
private EmailEntity(GraphMetaNetwork metaNetwork, MainOrganizationModels models) : base(metaNetwork, models,
new EmailTemplate(), ClassId)
{
}
public ForgettingModel(IAgentId agentId, TwoModesNetwork <IEntityKnowledge> entityKnowledgeNetwork,
CognitiveArchitecture cognitive, MainOrganizationModels models, byte randomLevel) :
this(agentId, entityKnowledgeNetwork, cognitive, models?.Forgetting, models != null && models.Knowledge.On, randomLevel)
{
}
