Conclusion
Abstract
As machine intelligence and large learning models [ 154 , 127 , 162 , 75 , 131 , 66 , 142 , 177 , 165 , 145 , 112 , 52 , 126 ] continue to advance, the intersection of deep learning and game theory offers a powerful lens for understanding the behavior of complex models. By framing deep learning as a game between layers, and transformers as strategic agents, this book presents a novel approach to thinking about machine learning systems. The generative capabilities of transformers, when viewed through the lens of game theory, reveal new possibilities for designing, training, and understanding machine intelligence models.
Publication details
- Journal / source
- Chapman & Hall/CRC eBooks
- Pages
- 265–270
- Publication date
- 6 February 2026
- Language
- EN
- Document type
- Book chapter