// This method is invoked when a new enemy is spawned
public void NotifyEnemySpawned(Enemy enemy)
{
// Only do something if AI is in charge of player
if (IsAI)
{
// Ask AI to make a prediction and choose weapon
string weaponStr = nbClassifier.Predict(
new Dictionary <Attrib, string>()
{
{ enemyTypeAttrib, enemy.Type.ToString() },
{ speedAttrib, enemy.SpeedCategory.ToString() }
});
// Convert the string returned by the AI into a weapon
Enum.TryParse <PlayerWeapon>(weaponStr, out weapon);
// Check what weapon was selected and act upon it
switch (weapon)
{
case PlayerWeapon.Bow:
spriteRenderer.sprite = bowSprite;
break;
case PlayerWeapon.Sword:
spriteRenderer.sprite = swordSprite;
break;
}
}
}
// Update is called once per frame
void Update()
{
if (roomsEntered == nValue + 1)
{
roomsEntered = 0;
//Debug.Log(lastRoomsVisited);
nGramPredictor.RegisterSequence(lastRoomsVisited);
lastRoomsVisited = new List <int>();
}
List <bool> stuffToClassify = new List <bool>()
{
guard.playerSighted, GameObject.Find("GameState").GetComponent <GameState>().alarm
};
guard.playerAggressive = bayesClassifier.Predict(stuffToClassify);
Debug.Log("Aggressive: " + guard.playerAggressive);
}
public override Prediction <LblT> Predict(SparseVector <double> example)
{
return(mModel.Predict((BinaryVector)ModelUtils.ConvertExample(example, typeof(BinaryVector))));
}
static void Main(string[] args)
{
// Create two attributes and specify their possible values
Attrib distance =
new Attrib("distance", new string[] { "near", "far" });
Attrib speed =
new Attrib("speed", new string[] { "slow", "fast" });
// Create a naive Bayes classifier with a set of labels and a
// set of attributes
NaiveBayesClassifier nbc = new NaiveBayesClassifier(
new string[] { "Y", "N" },
new Attrib[] { distance, speed });
// Pass a few observations to the naive Bayes classifier
nbc.Update("Y", new Dictionary <Attrib, string>()
{
{ distance, "near" },
{ speed, "slow" }
});
nbc.Update("Y", new Dictionary <Attrib, string>()
{
{ distance, "near" },
{ speed, "fast" }
});
nbc.Update("N", new Dictionary <Attrib, string>()
{
{ distance, "far" },
{ speed, "fast" }
});
nbc.Update("Y", new Dictionary <Attrib, string>()
{
{ distance, "far" },
{ speed, "fast" }
});
nbc.Update("N", new Dictionary <Attrib, string>()
{
{ distance, "near" },
{ speed, "slow" }
});
nbc.Update("Y", new Dictionary <Attrib, string>()
{
{ distance, "far" },
{ speed, "slow" }
});
nbc.Update("Y", new Dictionary <Attrib, string>()
{
{ distance, "near" },
{ speed, "fast" }
});
// Make a prediction given a set of attribute-value pairs
string prediction = nbc.Predict(new Dictionary <Attrib, string>()
{
{ distance, "far" },
{ speed, "slow" }
});
// Show prediction
Console.WriteLine($"Brake? {prediction}");
}