A group of researchers led by Professor Martin Butz at the University of Tubingen in Germany are using social AI (artificial intelligence) to reinvent video games, specifically the classic Super Mario game.
Using their technology, the team have created a clone version of Super Mario in which game characters Mario, Luigi, Yoshi and Toad talk to each other in English, learn from each other by observing each other's actions, and work together to achieve a common goal. The game characters are capable of learning new rules and concepts that can help them accomplish tasks and goals.
This social AI-equipped video game proves that intelligent social support systems could be one of the best and most important spawns of artificial intelligence, showing that human-computer interaction could have implications in gaming as well as more important endeavors.
Smartened Videogame Characters
Super Mario Can Learn From Luigi Thanks to Social AI
Trend Themes
1. Social AI in Gaming - The integration of social AI in video games like Super Mario opens up opportunities for enhanced player experiences and game mechanics.
2. Learning Game Characters - The development of game characters that can learn from each other and collaborate showcases the potential for more interactive and dynamic gaming environments.
3. Intelligent Social Support Systems - The emergence of intelligent social support systems in video games indicates a potential for AI-driven advancements in human-computer interaction and cooperative gameplay.
Industry Implications
1. Video Game Development - Integrating social AI into video games presents an opportunity for game developers to create more immersive and engaging gaming experiences.
2. Artificial Intelligence - The use of AI in video games, such as enabling characters to learn and communicate, showcases the potential for AI applications beyond traditional domains.
3. Human-computer Interaction - The integration of AI in gaming highlights the potential for advancements in interactive interfaces and collaborative systems between humans and computers.