/// <summary>
/// すべての取り得るStateを生成
/// </summary>
/// <param name="Length">Multiplexerの長さ</param>
/// <returns>すべての取り得るState</returns>
public static State[] AllState( int Length )
{
State[] All = new State[( int )Math.Pow( 2, Length )];
for( int i = 0; i < All.Length; i++ )
{
string S = Convert.ToString( i, 2 );
// 頭に足りない分0を付加
while( S.Length < Length )
{
S = "0" + S;
}
All[i] = new BinaryState( S );
}
return All;
}
// situationに合うものをPopulationから取り、足りないときはCovering
protected override void Covering( State S, Population P )
{
while( this.CList.Count == 0 )
{
// situationにあうものをPopulationから探す
this.CList = P.MatchSituation( S );
// Actionの種類
List<char> Actions = new List<char>();
int NumberOfActions = 0;
// Multiplexer(2進数)
if( Configuration.Type == "Binary" )
{
Actions.Add( '0' );
Actions.Add( '1' );
foreach( Classifier C in this.CList )
{
Actions.Remove( C.A );
}
NumberOfActions = 2 - Actions.Count;
}
// MatchSetにある行動が少ないとき
if( NumberOfActions < Configuration.Theta_mna )
{
// 一部を変化させたCondition
State state = new BinaryState( S );
state.Covering();
Classifier CC;
if( Configuration.ASName == "CS" || Configuration.ASName == "MaxCS" || Configuration.ASName == "Max" || Configuration.ASName == "Updatee0CS" )
{
CC = new SigmaNormalClassifier( state, Actions, Configuration.ExpThreshold );
}
else
{
CC = new NormalClassifier( state, Actions );
}
P.Add( CC );
// 整理
P.Delete();
this.CList = new List<Classifier>();
}
}
}