Learning based Approximation Algorithm: A Case Study in Learning through Gaming

摘要

With new learning technologies springing up, gaming also plays a vital role in creating learning experiences. Studies show that games play an active role in defining active and creative learning activities. For effective learning through game based activities, games need to be well defined, interactive and challenging. Gamification can be applied in the context of learning using Atificial Intelligence. It is understood that game development is one of the use cases for AI. An attempt had been made to gamify learning using a supervised learning based approximation technique. The case study is done with TRON game using an alternate Voronoi heuristics, employing supervised learning. The algorithm has been tested for different game scenarios and the proposed game bot was tested for accuracy of moves, winning percentage and response time.