Player modeling - artificial intelligence in games

Software programmer from the technology sector often lament intuit the true intentions of the game player, mechanisms from human and computer interaction are fundamentally limited. The real surprise that thought process of blow their mind and losing the translation of crammed with the funnel of clicking the mouse.

Effort into developing user experiences and streamline, most games are familiar with usability test out player are invited to play the why under development, observing the developer gleans and huge amount of valuable user experience where it need development.

This feedback from the usability test only during the development cycle of the game, putting tracking hardware on each player outside of control laboratory setting which limit for understanding the way the player are thinking and behavior.

This high tech behavioral science are for analyzing player behavior and increasingly technique to know the statistics of millions of player automatically with the use of internet and interesting revelation, most online games have be making wave in few years I don’t see any reason why you cant do this to any game that has access to internet connection.

The main dream of collecting all the date is to create a player model, this will description of how the player is behaving other than separating them into major group based on play style, this model is a sufficiently becomes possible in studying player actions after fact of also predict future actions.

If there is a mechanism for player behavior predicting then we start customizing the game experience of each player on the model, normally player are meant to enjoy the exploring large are of the game world. For instance game such a league of league exploit player modeling .

Accomplishing this process may seem like mathematical task but artificial intelligence techniques solving complex modeling problem, statistical modeling is still an art but some science is requires in substantial the degree to apply effectively, this is also challenging in the process of gathering million of data turning around time for player modeling.

There is plenty of fodder for improving the games experience this is limited in exploring of player modeling trying to predict the player want and what to do. What if games could tailor themselves individual audiences are deliver the excellent experience for everyone.