/// <summary>
/// 意思決定
/// </summary>
public int DecideIntention()
{
NumYArray xData = new NumYArray();
xData.Add(situation);
//ニューラルネットワークによる結果表示
NumYArray resultArray = new NumYArray(nn.Predict(xData));
List <List <float> > resultList = resultArray.Get();
//ランダムによる意思決定
float n = Random.Range(0.0f, NumY.Sum(resultArray).Get()[0][0]);
float offset = 0.0f;
for (int i = 0; i < resultList[0].Count; i++)
{
offset += resultList[0][i];
if (n <= offset)
{
intention = i;
break;
}
}
return(this.intention);
}
// Use this for initialization
void Start()
{
for (int i = 0; i < 2; i++)
{
List <float> a = new List <float>();
for (int j = 0; j < 3; j++)
{
a.Add(0);
}
arrayA.Add(a);
}
//float[][] b = { new float[] { 1, 2 }, new float[] { 3, 4 }, new float[] { 5, 6 } };
//NumYArray arrayB = NumY.NumYArray(b);
//float[][] c = { new float[] { 6, 5, 4, }, new float[] { 3, 2, 1 } };
//NumYArray arrayC = NumY.NumYArray(c);
//行列内の表示
//arrayA.DisplayNum();
//arrayB.DisplayNum();
//arrayC.DisplayNum();
//行列の四則演算
//Array arrayD = NumY.Array(arrayC + arrayB);
//arrayD = -arrayD;
//arrayD.DisplayNum();
//Array arrayE = NumY.Array(arrayC - arrayB);
//arrayE.DisplayNum();
//Array arrayF = NumY.Array(arrayC * arrayB);
//arrayF.DisplayNum();
//Array arrayG = NumY.Array(arrayC / arrayB);
//arrayG.DisplayNum();
//行列の内積計算
//Array arrayH = NumY.Dot(arrayB, arrayC);
//arrayH.DisplayNum();
//行列の和を求めるテスト
//float[][] o = { new float[] { 1, 2, 3, 4 }, new float[] { 1, 2, 3, 4 }, new float[] { 1, 2, 3, 4 } };
//Array arrayO = NumY.Array(o);
//arrayO.DisplayNum();
//Array arrayO1 = new Array(NumY.Sum(arrayO));
//arrayO1.DisplayNum();
//Array arrayO2 = new Array(NumY.Sum(arrayO,0));
//arrayO2.DisplayNum();
//Array arrayO3 = new Array(NumY.Sum(arrayO,1));
//arrayO3.DisplayNum();
//転置行列を求めるテスト
//float[][] p = { new float[] { 1, 2, 3, 4 }, new float[] { 1, 2, 3, 4 }, new float[] { 1, 2, 3, 4 } };
//Array arrayP = NumY.Array(p);
//arrayP = arrayP.T;
//arrayP.DisplayNum();
}
/// <summary>
/// 意思と結果を基に教師値を算出
/// </summary>
public void CalcTeachData(string result, string state, float dis)
{
if (intention == -1)
{
return;
}
//教師値の算出
switch (result)
{
case "Guard":
teachValue[intention] = 1.0f;
break;
case "WasGuarded":
if (state == "StandGuard")
{
teachValue[(int)EnemyAI.BEHAVE.swATTACK] = 1.0f;
teachValue[(int)EnemyAI.BEHAVE.ssATTACK] = 1.0f;
}
else
{
teachValue[intention] = 1.0f;
}
break;
case "Damage":
switch (state)
{
case "StandGuard":
teachValue[(int)EnemyAI.BEHAVE.sGUARD] = 1.0f;
break;
case "SitGuard":
teachValue[(int)EnemyAI.BEHAVE.GUARD] = 1.0f;
break;
case "Kick":
teachValue[(int)EnemyAI.BEHAVE.wATTACK] = 1.0f;
break;
case "SitKick":
teachValue[(int)EnemyAI.BEHAVE.swATTACK] = 1.0f;
break;
default:
teachValue[(int)EnemyAI.BEHAVE.sGUARD] = 1.0f;
teachValue[(int)EnemyAI.BEHAVE.GUARD] = 1.0f;
break;
}
break;
case "Damaged":
teachValue[intention] = 1.0f;
break;
default:
nowSkip++;
if (nowSkip < learningSkipNum)
{
situation = new List <float>();
return;
}
for (int i = 0; i < teachValue.Count; i++)
{
if (dis <= 0.1f)
{
teachValue[(int)EnemyAI.BEHAVE.wATTACK] = 1.0f;
teachValue[(int)EnemyAI.BEHAVE.sATTACK] = 1.0f;
if (dis <= 0.3f)
{
teachValue[(int)EnemyAI.BEHAVE.swATTACK] = 1.0f;
teachValue[(int)EnemyAI.BEHAVE.ssATTACK] = 1.0f;
}
break;
}
if (i != (int)EnemyAI.BEHAVE.wATTACK &&
i != (int)EnemyAI.BEHAVE.sATTACK &&
i != (int)EnemyAI.BEHAVE.swATTACK &&
i != (int)EnemyAI.BEHAVE.ssATTACK)
{
if (i != (int)EnemyAI.BEHAVE.JUMP &&
i != (int)EnemyAI.BEHAVE.fJUMP &&
i != (int)EnemyAI.BEHAVE.bJUMP)
{
teachValue[i] = 1.0f;
}
else
{
teachValue[i] = 0.3f;
}
}
}
nowSkip = 0;
break;
}
if (situation.Count == 0)
{
JudgSituation(dis);
}
//状況データと教師データを学習データに追加
situationDatas.Add(situation);
teachDatas.Add(teachValue);
//入っているデータを削除
situation = new List <float>();
teachValue = new List <float> {
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
};
}
