User Modeling and User-Adapted Interaction
Machine Learning
Semantic networks -based teachable agents in an educational game
WSEAS Transactions on Computers
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User generated media highlights sharing: Sharing videos, images and texts in social media, as well as sharing character outfits and maps in games. However, behavior is one of the aspects that are not shared. The aim of this study is to show how user generated behaviors can be shared in different types of games. The game genres for this study are educational games and fighting (sports) games. The examples about sport games and educational games are based on MindFarm AI technology that enables end users to construct humanlike behavior by only teaching. MindFarm emulates the human way to learn: According to cognitive psychology of learning, our thinking is based on conceptual representations of our experiences and complex relations between these concepts and experiences. Phenomena when the mental structure change is called learning. In the near future user-generated behaviors can be developed and shared, as all other user-generated content. According to examples on this study, game developers can design extensions that enable users to easily construct behaviors. From a game consumer point of view, the most interesting part is in developing behaviors, sharing them and finally playing with them, or against them.