public bool Process(bool isPureFactUpdated, TimeSpan timeSinceStart, IKorraAIModel model)
{
//SharedHelper.LogWarning("Inside music trigger");
// We increase the music suggestions after a fixed amount of time
if (timeSinceStart.TotalMinutes > MinutesIncreaseMusic) // && !IncreaseDistributionSuggestMusicDone)
{
executedCount = executedCount + 1;
ProbVariables.Bot.PrSuggestListenToSong = Prob(0.35);
SharedHelper.LogWarning("PrSuggestListenToSong updated to: " + ProbVariables.Bot.PrSuggestListenToSong.Value);
}
return(false); //no re-sampling
}
public CommItem?Process(IKorraAIModel model)
{
#region Get Fact Manager
PureFacts pfManager = (PureFacts)model.ItemProviders.SingleOrDefault(x => x is PureFacts);
if (pfManager == null)
{
SharedHelper.LogError("No manager in Facts Manager in MoviesModelUpdateTrigger.");
return(null);
}
#endregion
var context = model.GetContext();
string text = "";
PureFact factLikesVideoGames = (PureFact)pfManager.GetByName("UserLikesVideoGames");
PureFact factThinksVideoGameIsGoodPresent = (PureFact)pfManager.GetByName("UserThinksVideoGameIsGoodPresent");
PureFact userAge = (PureFact)pfManager.GetByName("UserAge");
PureFact userSex = (PureFact)pfManager.GetByName("UserSex");
if (factLikesVideoGames == null || factThinksVideoGameIsGoodPresent == null || userAge == null || userSex == null)
{
SharedHelper.LogError("factJob or factWatchedMovieYesterday is NULL in MoviesModelUpdateTrigger.");
}
bool UserLikesVideoGamesAnswered = factLikesVideoGames.IsAnswered;
bool UserThinksVideoGameIsGoodPresentAnswered = factThinksVideoGameIsGoodPresent.IsAnswered;
bool userAgeAnswered = userAge.IsAnswered;
bool userSexAnswered = userSex.IsAnswered;
if (!UserLikesVideoGamesAnswered)
{
return(null);
}
bool UserLikesVideoGamesAnsweredYES = context.BasePhrases.IsYes(factLikesVideoGames.Value); //only if answered
//Calcualte 3 differerent surprises:
//1. surprise because statistically people from this sex and age like computer games
//Should like Video Games, but user answered No
if (userAgeAnswered && userSexAnswered &&
factLikesVideoGames.IsAnswered &&
!UserLikesVideoGamesAnsweredYES //DOES NOT LIKE VIDEO GAMES
)
{
int Age = Convert.ToInt32(userAge.Value);
bool IsMale = userSex.Value.ToLower() == phrases.Male().ToLower();
var likesVideoGamesInferred = BernoulliF(ProbVariables.User.playsGames(Age, IsMale)); //our estimation based on Age and Sex
//Threshold check
if (likesVideoGamesInferred.ProbOf(e => e == true).Value > 0.8)
{
SharedHelper.LogWarning("VG S1 surprise inferred.");
text = phrases.SurpriseVideoGames(1, false); //second parameter is not used
executedCount = executedCount + 1;
return(new CommItem
{
Category = ActionsEnum.MakeGeneralStatement,
Name = "ExpressVideoGamesSurprise",
TextToSay = text,
FacialExpression = FaceExp.SurpriseOnStartTalking,
});
}
else
{
SharedHelper.LogWarning("No VG S1 surprise, because it is below threshold.");
}
}
if (!UserThinksVideoGameIsGoodPresentAnswered)
{
return(null);
}
bool UserThinksVideoGameIsGoodPresentYES = context.BasePhrases.IsYes(factThinksVideoGameIsGoodPresent.Value); //only if answered
//2. Surprise
//Thinks games are good present - YES
//Likes games in general - NO
//surprise: LikesGames rendered more than 70% positive, but still answered NO by user
//backward inference
if (UserLikesVideoGamesAnswered &&
!UserLikesVideoGamesAnsweredYES && //DOES NOT LIKE VIDEO GAMES
UserThinksVideoGameIsGoodPresentAnswered &&
UserThinksVideoGameIsGoodPresentYES //LIKES VG AS PRESENT
)
{
var conditionThinksVideogameIsGoodPresent = ProbVariables.User.VideoGameModel.ConditionHard(e => e.ThinksVideogameIsGoodPresent);
//for this query we are not using Age and Sex, because we already know that the user LikesVideoGames (answered by the user)
double probLikesGamesConditionedOnThinksGamesAreGoodPresentInferred = conditionThinksVideogameIsGoodPresent.ProbOf(e => e.LikesVideoGames).Value;
SharedHelper.LogWarning("S2 probLikesGamesConditionedOnThinksGamesAreGoodPresent: " + probLikesGamesConditionedOnThinksGamesAreGoodPresentInferred);
//Threshold check
if (probLikesGamesConditionedOnThinksGamesAreGoodPresentInferred > 0.6)
{
SharedHelper.LogWarning("VG S2 surprise inferred.");
bool IsLikesGamesFirstAnswered = factLikesVideoGames.LastUpdated < factThinksVideoGameIsGoodPresent.LastUpdated;
text = phrases.SurpriseVideoGames(2, IsLikesGamesFirstAnswered);
executedCount = executedCount + 1;
return(new CommItem
{
Category = ActionsEnum.MakeGeneralStatement,
Name = "ExpressVideoGamesSurprise",
TextToSay = text,
IsReactionToUser = true,
FacialExpression = FaceExp.SurpriseOnStartTalking,
});
}
else
{
SharedHelper.LogWarning("No VG S2 surprise, because it is below threshold.");
}
}
// 3. Surprise
//Thinks games are a good present - NO
//Likes games in general - YES
//surprise: ThinkGamesGoodPresent rendered more than 70% positive, but still answered NO by user
if (UserLikesVideoGamesAnswered &&
UserThinksVideoGameIsGoodPresentAnswered &&
UserLikesVideoGamesAnsweredYES && //LIKES VIDEO GAMES
!UserThinksVideoGameIsGoodPresentYES) //DOES NOT LIKE VG AS PRESENT
{
//TODO: it should not be here, but attached to the item
//THIS IS NEEDED FOR THE INFERRENCE BELOW ON: probThinksVideoGameIsGoodPresentInferred
if (UserLikesVideoGamesAnsweredYES)
{
ProbVariables.User.LikesVideoGames = BernoulliF(Prob(0.98));
}
var probThinksVideoGameIsGoodPresentInferred = ProbVariables.User.VideoGameModel.ProbOf(e => e.ThinksVideogameIsGoodPresent).Value;
SharedHelper.LogWarning("S3 probThinksVideoGameIsGoodPresent: " + probThinksVideoGameIsGoodPresentInferred);
//Threshold check
if (probThinksVideoGameIsGoodPresentInferred >= 0.7)
{
SharedHelper.LogWarning("VG S3 surprise inferred.");
bool IsLikesGamesFirstAnswered = factLikesVideoGames.LastUpdated < factThinksVideoGameIsGoodPresent.LastUpdated;
text = phrases.SurpriseVideoGames(3, IsLikesGamesFirstAnswered);
executedCount = executedCount + 1;
return(new CommItem
{
Category = ActionsEnum.MakeGeneralStatement,
Name = "ExpressVideoGamesSurprise",
TextToSay = text,
FacialExpression = FaceExp.SurpriseOnStartTalking,
});
}
else
{
SharedHelper.LogWarning("No VG S3 surprise, because it is below threshold.");
}
}
return(null);
}
public bool Process(bool isPureFactUpdated, TimeSpan timeSinceStart, IKorraAIModel model)
{
//SharedHelper.LogWarning("Inside movies trigger");
#region Get Fact Manager
PureFacts pfManager = (PureFacts)model.ItemProviders.SingleOrDefault(x => x is PureFacts);
if (pfManager == null)
{
SharedHelper.LogError("No manager in Process in MoviesModelUpdateTrigger.");
return(false);
}
#endregion
var context = model.GetContext();
PureFact factJob = (PureFact)pfManager.GetByName("UserHasJob");
PureFact factWatchedMovieYesterday = (PureFact)pfManager.GetByName("UserMovieYesterday");
if (factJob == null || factWatchedMovieYesterday == null)
{
SharedHelper.LogError("factJob or factWatchedMovieYesterday is NULL in MoviesModelUpdateTrigger.");
}
if (!IsTimeOfDayUpdated && !isPureFactUpdated)
{
return(false);
}
SharedHelper.Log("Inside MoviesModelUpdateTrigger");
var oldSuggestToWatchMovie = SharedHelper.GetProb(ProbVariables.Bot.SuggestToWatchMovie).Value;
//TODO: this model can be replaced by a Bayesian network, because of the too many IFs
//if no job or weekend
if ((factJob.IsAnswered && context.BasePhrases.IsNo(factJob.Value)) || StatesShared.IsWeekend)
{
ProbVariables.Bot.SuggestToWatchMovie = BernoulliF(Prob(0.18));
//KorraBaseHelper.Log("Prob SuggestToWatchMovie changed to: 0.18, no job or weekend");
}
else if (factJob.IsAnswered && context.BasePhrases.IsYes(factJob.Value)) //if has job
{
#region working and evening
if (StatesShared.IsEvening /*TODO: or after work hours*/)
{
//has NOT watched movie yesterday (is working and evening)
if (factWatchedMovieYesterday.IsAnswered && context.BasePhrases.IsNo(factJob.Value))
{
ProbVariables.Bot.SuggestToWatchMovie = BernoulliF(Prob(0.18));
//KorraBaseHelper.Log("Prob SuggestToWatchMovie changed to: 0.18, evening");
}
//has watched movie yesterday (is working and evening)
else if (factWatchedMovieYesterday.IsAnswered && context.BasePhrases.IsYes(factJob.Value))
{
ProbVariables.Bot.SuggestToWatchMovie = BernoulliF(Prob(0.12));
// KorraBaseHelper.Log("Prob SuggestToWatchMovie changed to: 0.12. Watched movie yesterday.");
}
}
#endregion
else //is working and not evening, no time because working and not evening
{
ProbVariables.Bot.SuggestToWatchMovie = BernoulliF(Prob(0.05));
//KorraBaseHelper.Log("Prob SuggestToWatchMovie changed to: 0.05");
}
}
else //has job is unknown
{
ProbVariables.Bot.SuggestToWatchMovie = BernoulliF(Prob(0.10));
}
double newSuggestToWatchMovie = SharedHelper.GetProb(ProbVariables.Bot.SuggestToWatchMovie).Value;
if (Math.Abs(oldSuggestToWatchMovie - newSuggestToWatchMovie) > (1 / 1000))
{
executedCount = executedCount + 1;
SharedHelper.Log("Prob SuggestToWatchMovie changed from " + oldSuggestToWatchMovie + " to: " + SharedHelper.GetProb(ProbVariables.Bot.SuggestToWatchMovie));
//return new ModelUpdateTriggerReturn { IsTriggered = true, IsResamplingRequired = true, Value = "" };
return(true); //re-sampling requested
}
else
{
return(false); //no re-sampling
}
}
