/// <inheritdoc cref="Player.DecideNextMove"/>
public override Move DecideNextMove(Rules rules, Playground playground)
{
if (_gamePlan is null || rules != _gamePlan.Rules)
{
_gamePlan = new GamePlan(rules);
_gamePlan.Generate();
}
Dictionary <Move, float> chances = new Dictionary <Move, float>();
List <Tuple <Move, float, float> > tuples = _gamePlan.GetChances(playground);
float weight = Math.Abs(_difficulty);
foreach ((Move move, float winChance, float looseChance) in tuples)
{
chances[move] = (float)_random.NextDouble() * (1f - weight) + (_difficulty < 0 ? looseChance : winChance) * weight;
}
List <KeyValuePair <Move, float> > keyValuePairs = chances.OrderBy(p => p.Value).ThenBy(p => p.Key.ChangesPerRow.Sum()).ToList();
return(keyValuePairs.Last().Key);
}
/// <summary>
/// Creates a new AI Player
/// </summary>
/// <param name="name">The name for this player. Also used as seed for the internal randomization</param>
/// <param name="difficulty">The difficulty level of this AI player. May range anywhere from 1 to -1, where 1 results in the best, 0 in random and -1 in the worst possible choices</param>
/// <param name="teacher">An existing AI Player to copy the decision tree from</param>
public AiPlayerMinMax(string name, float difficulty, AiPlayerMinMax teacher) : this(name, difficulty)
{
_gamePlan = teacher._gamePlan;
}
/// <summary>
/// Creates a new AI Player
/// </summary>
/// <param name="name">The name for this player. Also used as seed for the internal randomization</param>
/// <param name="difficulty">The difficulty level of this AI player. May range anywhere from 1 to -1, where 1 results in the best, 0 in random and -1 in the worst possible choices</param>
/// <param name="rules">The rules to initialize the player with. Pre-loads the decision tree</param>
public AiPlayerMinMax(string name, float difficulty, Rules rules) : this(name, difficulty)
{
_gamePlan = new GamePlan(rules);
_gamePlan.Generate();
}