// Deal damage to player
public void DealDamage(Enemy enemy)
{
// The partial damages
int damageFromEnemy = 0, damageFromSpeed = 0, totalDamage;
// Get the enemy type
EnemyType enemyType = enemy.Type;
// Get the speed category
SpeedClassification speedCategory = enemy.SpeedCategory;
// Determine damage if player is holding a sword
if (weapon == PlayerWeapon.Sword)
{
// Determine damage due to enemy type
if (enemyType == EnemyType.Demon)
{
damageFromEnemy = 2;
}
else if (enemyType == EnemyType.Dragon)
{
damageFromEnemy = 5;
}
// Determine damage due to enemy speed
if (speedCategory == SpeedClassification.Slow)
{
damageFromSpeed = 8;
}
else if (speedCategory == SpeedClassification.Normal)
{
damageFromSpeed = 4;
}
else if (speedCategory == SpeedClassification.Fast)
{
damageFromSpeed = 2;
}
}
// Determine damage if player is holding a bow
else if (weapon == PlayerWeapon.Bow)
{
// Determine damage due to enemy type
if (enemyType == EnemyType.Demon)
{
damageFromEnemy = 4;
}
else if (enemyType == EnemyType.Dragon)
{
damageFromEnemy = 3;
}
// Determine damage due to enemy speed
if (speedCategory == SpeedClassification.Slow)
{
damageFromSpeed = 1;
}
else if (speedCategory == SpeedClassification.Normal)
{
damageFromSpeed = 3;
}
else if (speedCategory == SpeedClassification.Fast)
{
damageFromSpeed = 7;
}
}
// Determine total damage player will take
totalDamage = damageFromEnemy * damageFromSpeed;
// Update UI with damage taken by player
uiMessages.text = $"+{totalDamage} damage from "
+ $"{speedCategory.ToString()} {enemyType.ToString()}";
// Update total player damage
SetDamage(damage + totalDamage);
// Is the player being controlled by the AI?
if (!IsAI)
{
// If the game is not being played by the AI, pass the player's
// choice to the AI so it can learn
nbClassifier.Update(
weapon.ToString(),
new Dictionary <Attrib, string>()
{
{ enemyTypeAttrib, enemyType.ToString() },
{ speedAttrib, speedCategory.ToString() }
}
);
// Update the number of AI observations and the respective text
// widget
aiObservations++;
uiAi.text = $"AI Observations = {aiObservations}";
}
}
static void Main(string[] args)
{
// Create two attributes and specify their possible values
Attrib distance =
new Attrib("distance", new string[] { "near", "far" });
Attrib speed =
new Attrib("speed", new string[] { "slow", "fast" });
// Create a naive Bayes classifier with a set of labels and a
// set of attributes
NaiveBayesClassifier nbc = new NaiveBayesClassifier(
new string[] { "Y", "N" },
new Attrib[] { distance, speed });
// Pass a few observations to the naive Bayes classifier
nbc.Update("Y", new Dictionary <Attrib, string>()
{
{ distance, "near" },
{ speed, "slow" }
});
nbc.Update("Y", new Dictionary <Attrib, string>()
{
{ distance, "near" },
{ speed, "fast" }
});
nbc.Update("N", new Dictionary <Attrib, string>()
{
{ distance, "far" },
{ speed, "fast" }
});
nbc.Update("Y", new Dictionary <Attrib, string>()
{
{ distance, "far" },
{ speed, "fast" }
});
nbc.Update("N", new Dictionary <Attrib, string>()
{
{ distance, "near" },
{ speed, "slow" }
});
nbc.Update("Y", new Dictionary <Attrib, string>()
{
{ distance, "far" },
{ speed, "slow" }
});
nbc.Update("Y", new Dictionary <Attrib, string>()
{
{ distance, "near" },
{ speed, "fast" }
});
// Make a prediction given a set of attribute-value pairs
string prediction = nbc.Predict(new Dictionary <Attrib, string>()
{
{ distance, "far" },
{ speed, "slow" }
});
// Show prediction
Console.WriteLine($"Brake? {prediction}");
}
