Playing Smart: On Games, Intelligence, and Artificial Intelligence

Föreläsare: Julian Togelius, Professor of Computer Science at the New York University (NYU) Tandon School of Engineering, 

Abstract

Games are designed to challenge our minds and teach us their rules. That is why they are such good intelligence tests. Consequently, games have been used to test and develop AI methods since the beginning of AI research. The focus was once on Chess and Go, but these days video games, from Super Mario Bros to MineCraft and StarCraft, get more attention. And we keep finding ways of playing individual games better than humans. But we are still far from having models that can play games they have not seen before. That's right, ChatGPT and its ilk are no good at playing games, despite their proficiency at so many other things. What does this tell us about general intelligence? And what does it tell us about games? Interestingly, one can use AI methods not only for playing games but also for designing them. Various methods have been proposed to create game content or the games themselves, autonomously or in collaboration with humans. This has obvious applications in game development, but also for understanding design and creative processes. And eventually, we might be able to automatically generate new games that are both interesting for humans and useful for training AI players. If we want to.

Bio

Julian Togelius is a Professor of Computer Science at the New York University (NYU) Tandon School of Engineering, where he directs the Game Innovation Lab. He is also an IEEE Fellow and the co-founder of the AI-driven game testing startup, modl.ai. A world-renowned expert at the intersection of games and AI, his research focuses on procedural content generation, player modeling, and using games as testbeds for artificial intelligence. He is the co-author of the widely used textbook Artificial Intelligence and Games and his work explores how AI can make games more fun, easier to design, and highly adaptive. 

Online attendance

https://chalmers.zoom.us/j/64244020894 

Password: colloquium