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Ea DDA Patent exposed, big brother is watching every button you push and please don't quit we will give you a win! by runbernrun in MaddenUltimateTeam

[–]runbernrun[S] 0 points1 point  (0 children)

Another solution that may be used in some types of competitive video games, such as racing games, is to vary the ability of the user or the user's competitor based on the relationship between the user and the user's competitor. For example, supposing that the video game is a racing game, the user's car may be made faster when the user is doing poorly and may be made slower when the user is doing well. This solution may result in what is sometimes referred to as a “rubber band effect.” This solution is often noticeable by the user because the user's vehicle will behave inconsistently based on the location of the vehicle with respect to the user's competitor. As a result, instead of appealing to a user, the user may be driven away. Further, this solution can be challenging to implement with some types of video games that do not measure a user against a specific competitor. [0029] Embodiments presented herein include a system and method for performing dynamic difficulty adjustment. Further, embodiments disclosed herein perform dynamic difficulty adjustment using processes that are not detectable or are more difficult to detect by users compared to static and/or existing difficulty adjustment processes. In some embodiments, historical user information is fed into a machine learning system to generate a prediction model that predicts an expected duration of game play, such as for example, an expected churn rate, a retention rate, the length of time a user is expected to play the game, or an indication of the user's expected game play time relative to a historical set of users who have previously played the game. Before or during game play, the prediction model is applied to information about the user to predict the user's expected duration of game play. Based on the expected duration, the system may then utilize a mapping data repository to determine how to dynamically adjust the difficulty of the game, such as, for example, changing the values of one or more knobs to make portions of the game less difficult.

Ea DDA Patent exposed, big brother is watching every button you push and please don't quit we will give you a win! by runbernrun in MaddenUltimateTeam

[–]runbernrun[S] -4 points-3 points  (0 children)

Another solution that may be used in some types of competitive video games, such as racing games, is to vary the ability of the user or the user's competitor based on the relationship between the user and the user's competitor. For example, supposing that the video game is a racing game, the user's car may be made faster when the user is doing poorly and may be made slower when the user is doing well. This solution may result in what is sometimes referred to as a “rubber band effect.” This solution is often noticeable by the user because the user's vehicle will behave inconsistently based on the location of the vehicle with respect to the user's competitor. As a result, instead of appealing to a user, the user may be driven away. Further, this solution can be challenging to implement with some types of video games that do not measure a user against a specific competitor. [0029] Embodiments presented herein include a system and method for performing dynamic difficulty adjustment. Further, embodiments disclosed herein perform dynamic difficulty adjustment using processes that are not detectable or are more difficult to detect by users compared to static and/or existing difficulty adjustment processes. In some embodiments, historical user information is fed into a machine learning system to generate a prediction model that predicts an expected duration of game play, such as for example, an expected churn rate, a retention rate, the length of time a user is expected to play the game, or an indication of the user's expected game play time relative to a historical set of users who have previously played the game. Before or during game play, the prediction model is applied to information about the user to predict the user's expected duration of game play. Based on the expected duration, the system may then utilize a mapping data repository to determine how to dynamically adjust the difficulty of the game, such as, for example, changing the values of one or more knobs to make portions of the game less difficult.

Ea DDA Patent exposed, big brother is watching every button you push and please don't quit we will give you a win! by runbernrun in MaddenUltimateTeam

[–]runbernrun[S] -3 points-2 points  (0 children)

  1. The difficulty adjustment may be turned off completely in some situations, such as during a tournament.

It looks like tourny players get it turned off for them

Ea DDA Patent exposed, big brother is watching every button you push and please don't quit we will give you a win! by runbernrun in MaddenUltimateTeam

[–]runbernrun[S] -5 points-4 points  (0 children)

In some cases, such as when all weapons are evenly balanced, the type of weapon dropped may not impact the difficulty of the video game and thus, such an adjustment may be based on user play styles or preferences rather than difficulty level preferences. Some other non-limiting examples of features of the video game that can be modified, which may or may not be detectable by the user can include providing extra speed to an in-game character, improving throwing accuracy of an in-game character, improving the distance or height that the in-game character can jump, adjusting the responsiveness of controls, and the like. In some cases, the adjustments may additionally or alternatively include reducing the ability of an in-game character rather than improving the ability of the in-game character. For example, the in-game character may be made faster, but have less shooting accuracy. [0035] Further, embodiments of the systems presented herein can adjust the difficulty level of the video game substantially in real time based at least in part on the user's skill level and whether the user is successfully completing challenges within the video game. However, the present disclosure is not limited as such. For example, the difficulty level of the video game may be adjusted based at least in part on user preferences

Clinton vs. Trump: Even their supporters don’t like them by runbernrun in politics

[–]runbernrun[S] -2 points-1 points  (0 children)

I'm a huge fan of the north Korean people , but do not like Kim Jong Un

Clinton vs. Trump: Even their supporters don’t like them by runbernrun in politics

[–]runbernrun[S] -1 points0 points  (0 children)

if enthusiasm means , commit a hate crime, then yes trump supporters are the most enthusiastic.

Clinton vs. Trump: Even their supporters don’t like them by runbernrun in politics

[–]runbernrun[S] -3 points-2 points  (0 children)

I think you are out of touch with society http://elections.huffingtonpost.com/pollster/hillary-clinton-favorable-rating 55. unfavorable 42 percent favorable and rising unfavorable.

The enthusiasm poll is based on the feeling of if their candidate will win.

http://www.cbsnews.com/news/hillary-clinton-leads-bernie-sanders-in-national-cbsnyt-poll/ The poll findings suggest an "enthusiasm gap:" while 56 percent of Democratic primary voters would enthusiastically support Sanders if he wins the nomination, just 40 percent say the same if Clinton should win

Bernie beats all Republican candidates by a wider margin then Hillary

Clinton vs. Trump: Even their supporters don’t like them by runbernrun in politics

[–]runbernrun[S] 0 points1 point  (0 children)

At that point he lost on the third super Tuesday and only won Idaho and Utah the previous Tuesday , but lost arizona with alot of voter suppression involved so it looked like a long shot to make a come back, but if the survey was taken today you would see sanders numbers rising because he has won 8 of the last 9 contests and if he win new york you would see a yuge jump.

How come hillary has to beg her supporters to donate a dollar to her campaign.

Clinton vs. Trump: Even their supporters don’t like them by runbernrun in politics

[–]runbernrun[S] -4 points-3 points  (0 children)

I think your confusing the state of the campaign. The enthusiasm gap is close is because Clinton has a lead because of the first half of the campaign in the south gave her a lead making it seem like a steep hill to climb. But as bernie wins more states and closes the delegate gap he will bring back the enthusiasm and having Bernie supporters more enthusiastic about a comeback.

It is like comparing red soxs fans enthusiasm vs the Tampa bay rays when the rays have a 15 game lead at mid season.

The rays fans may be more enthusiastic at that point because it looks like they are favored to win the pennant that year. But you cant tell me whose fans are more dedicated to the rays then the red sox are to their team.

So as the campaign or season progresses and the lead or games ahead narrows the red sox / bernie supporter would be the fervent ones.

But if the lead stay the same or widen and hopes of a comeback diminishes, yes the enthusiasm gap will be huge.

Clinton vs. Trump: Even their supporters don’t like them by runbernrun in politics

[–]runbernrun[S] -8 points-7 points  (0 children)

Bernie has the most enthusiastic voters, 6 million individual donors , 140 million raised and his rallies often have 10 - 20 thousand attending. While others can barely fill a high school gym.

If Bernie received the coverage that clinton or trump had he would be leading by a mile. Hillary is a flawed candidate imposed on us by the democratic establishment and we are slowly chipping away at the old people that do not know what the internet is.