public void LearnTest0()
{
_learningModel.On = false;
var realLearning = _learningModel.Learn(_knowledge.EntityId, 0, -1, 0, 0);
Assert.AreEqual(0, _actorKnowledge.GetKnowledgeSum());
Assert.AreEqual(0, realLearning);
}
/// <summary>
/// Store the knowledge from a message of email type
/// </summary>
/// <param name="knowledgeId"></param>
/// <param name="knowledgeBits"></param>
/// <param name="maxRateLearnable"></param>
/// <param name="step"></param>
public void StoreKnowledge(IAgentId knowledgeId, Bits knowledgeBits, float maxRateLearnable, ushort step)
{
if (knowledgeId == null || knowledgeId.IsNull || knowledgeBits is null)
{
return;
}
InitializeKnowledge(knowledgeId, step);
var agentKnowledge = GetKnowledge(knowledgeId);
_learningModel.Learn(knowledgeBits, maxRateLearnable, agentKnowledge, step);
}
/// <summary>
/// each task allows to learn a little more about knowledge
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
protected override void AfterSetTaskDone(object sender, TaskEventArgs e)
{
// The learning is done randomly on the knowledgeBits
var knowledgeBit = Knowledge.GetRandomBitIndex();
// Agent is learning via email
// We simplify here, we should send an email to ask for information to a database, then treat the reply
// That is why we have to initialize a Bits
var bits = new Bits(0);
bits.InitializeWith0(Knowledge.Length);
// The source has the maximum knowledge bit
bits.SetBit(knowledgeBit, 1);
LearningModel.Learn(Knowledge.EntityId, bits,
Environment.MainOrganization.Communication.Email.MaxRateLearnable,
Schedule.Step);
// the information learned is stored in a wiki
// not the total knowledge of the agent, it is tacit knowledge for the agent
// wiki will be filled quicker by a non expert
Wiki.StoreKnowledge(Knowledge.EntityId, bits, 1, Schedule.Step);
}
