شماره ركورد كنفرانس :
144
عنوان مقاله :
Dynamic Difficulty Adjustment in Games by Using an Interactive Self-Organizing Architecture
پديدآورندگان :
Ebrahimi Afshin نويسنده Environment Research Center, Isfahan University of Medical Sciences, Isfahan, Iran , Akbarzadeh-T Mohammad-R نويسنده
كليدواژه :
Self Organizng System , Interactive Evolutionary Algorithm , Non-Player Character , Cooperative coevolution
عنوان كنفرانس :
مجموعه مقالات دوازدهمين كنفرانس سيستم هاي هوشمند ايران
چكيده فارسي :
If difficulty level of a game does not match
player’s skills, the game could be frustrating or
disappointing. In this paper we propose a self-organizing
system (SOS) to adjust difficulty level of games. For this
purpose, we use Artificial Neural Network and Interactive
Evolutionary Algorithms to evolve Non-Player Characters
(NPCs), and focus on player’s hidden responses to determine
fitness of the system. Results show that the proposed
interactive SOS can adapt itself with different level of skills.
شماره مدرك كنفرانس :
3817034
