Abstract
In general, video games not only prevail in entertainment but also have become an alternative methodology for knowledge learning, skill acquisition and assistance for medical treatment as well as health care in education, vocational/military training and medicine. On the other hand, video games also provide an ideal test bed for AI researches. To a large extent, however, video game development is still a laborious yet costly process, and there are many technical challenges ranging from game generation to intelligent agent creation. Unlike traditional methodologies, in Machine Learning and Perception Lab at the University of Manchester (MLP@UoM), we advocate applying machine learning to different tasks in video game development to address several challenges systematically. In this paper, we overview the main progress made in MLP@UoM recently and have an outlook on the future research directions in learningbased video game development arising from our works.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 6th IEEE International Conference on Electrical, Electronics and Information Engineering (ICEEIE 2019) |
| Publication status | Accepted/In press - 1 Aug 2019 |
Keywords
- video game development
- machine learning
- procedural content generation
- serious education games
- fast skill capture
- learnable agent
