Petri net model for serious games based on motivation behavior classification

摘要: Petri nets are graphical and mathematical tool for modeling, analyzing, designing discrete event applicable to many systems. They can be applied game design too, especially serous game. This paper describes an alternative approach the modeling of serious systems classification motivation behavior with nets. To assess level player ability, this research aims at Motivation Behavior Game (MBG). MBG improves concept monitor how players interact employs Learning Vector Quantization (LVQ) optimizing input player.MBG may provide information when a needs help or he wants formidable challenge. The will appropriate tasks according players' ability. balance emotions players, so do not get bored frustrated. Players have high interest finish if emotionally stable. Interest strongly supports procedural learning in