Active learning and its use in computer science
ITiCSE '96 Proceedings of the 1st conference on Integrating technology into computer science education
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Robocode: using games to teach artificial intelligence
Journal of Computing Sciences in Colleges
Using Rationale for Software Engineering Education
CSEET '05 Proceedings of the 18th Conference on Software Engineering Education & Training
RoboCup 2006: Robot Soccer World Cup X
RoboCup 2006: Robot Soccer World Cup X
A guideline for game development-based learning: a literature review
International Journal of Computer Games Technology
Hi-index | 0.00 |
Teaching Artificial Intelligence (AI) or multi-agent systems is a challenging task as algorithms are in question which are advantageous in highly complex and dynamic environments. Explaining multi-agent systems (MAS) in lectures requires interactive approaches accompanied by exercises. The key challenge in using practical exercises within lectures on MAS is to establish an environment for testing which is extremely time consuming. It is not reasonable that students do this work as they do have not enough time focussing on the important aspects. In this paper, we introduce a system which supports experimenting with AI and Distributed Artificial Intelligence (DAI) algorithms concurrently to the lecture. Our system is based on a board game called RoboRally. Different issues from the field of AI and DAI can be implemented and tested in a kind of challenge.