Why applying your research in AI on games
The document discusses reasons for applying AI research to games. It notes that games are fun, provide an accessible industry with real problems to solve, and allow for easy science popularization through their accessibility. Games also offer a more convenient testbed than robotics with fewer hardware requirements and lower costs. Competitions in games can help identify expert AI, and games provide a huge accessible collection of match and usage data for analysis without confidentiality issues. Games also serve as an excellent environment for studying human-machine interaction at scale through cooperative and competitive play. Finally, games provide a simplified world that is rich enough to pose scientifically relevant problems while having clearer rules and metrics for success than the real world.
Why applying your research in AI on games
- 1. Why applying your research in AI on games Florian Richoux 6th of December, 2016 Florian Richoux Why Game AI 1 / 11
- 2. It's fun! It would be disingenuous of us to disguise the fact that the principal motive which prompted the work was the sheer fun of the thing. Florian Richoux Why Game AI 2 / 11
- 3. The game industry A real industry, with its problems, needs and expectations. Florian Richoux Why Game AI 3 / 11
- 4. Science popularization Games speak to anyone: it is easy to explain ideas and concepts through them. Florian Richoux Why Game AI 4 / 11
- 5. More convenient than other application elds For instance more convenient than robotics: dematerialized, need few hardware, time-ow control, costs, . . . Florian Richoux Why Game AI 5 / 11
- 6. Experts identication International competitions for many games: winners are well placed to bring their expertise. Florian Richoux Why Game AI 6 / 11
- 7. Huge accessible mass of data Great analyzable, free, often unrestricted access without condentiality problems collection of matches and data. Florian Richoux Why Game AI 7 / 11
- 8. Excellent environment for human-machine interaction Cooperative or competitive interactions at a large scale. Implies communication and social interaction abilities. Florian Richoux Why Game AI 8 / 11
- 9. Game nature Game : environment where one must take a series of decisions, with a clear metric of success (score). Ideal learning playground. Florian Richoux Why Game AI 9 / 11
- 10. World simplication Like a small world: easier rules, more restricted space, more limited interactions, but rich and complex enough to propose scientically pertinent problems. Florian Richoux Why Game AI 10 / 11
- 11. Other points? Florian Richoux Why Game AI 11 / 11