Abstract In this paper, we present a human-robot teaching framework that uses "virtual" games as a means for adapting a robot to its user through natural interaction in a...
In recent years, science education has been the focus of study and development of new gamebased learning environments. It has been argued that active and critical learning about r...
We present a general methodology to automate the search for equilibrium strategies in games derived from computational experimentation. Our approach interleaves empirical game-the...
This paper demonstrates the applicability of reinforcement learning for first person shooter bot artificial intelligence. Reinforcement learning is a machine learning technique wh...
This paper provides an overview of creating games for change from within an academic context, focusing specifically on the development of educational computer games for middle scho...