Google’s DeepMind has collaborated with various organizations to develop an AI system called Student of Games (SoG) capable of mastering and defeating humans in various games. Unlike traditional game-playing AI, SoG isn’t limited to one game. It excels in chess, Go, poker, and more, as it can teach itself how to play virtually any game. The SoG system showcases remarkable proficiency in defeating human opponents across various games and has the unique ability to learn and adapt to new games.
Machine learning and artificial intelligence (AI) have evolved significantly over the past 50 years, leveraging human-generated data to train computer systems. Teaching a computer to master a board game and enhancing its capabilities to outperform humans marks a significant stride in AI. However, the creators of SoG have developed a versatile, intelligent system that can play a range of games requiring different skill sets and displays proficiency across various gaming scenarios.
The AI system has successfully defeated its opponents in Go, chess, Scotland Yard, and Texas Hold ’em poker. What sets the Student of Games apart is its ability to teach itself to play virtually any game, hinting at its potential to excel in a wide range of gaming scenarios. The study’s abstract introduces SoG as a general-purpose algorithm that amalgamates previous AI approaches, seamlessly combining guided search, self-play learning, and game-theoretic reasoning. Collaborators of Google DeepMind include EquiLibre Technologies, Sony AI, Amii, and Midjourney. The findings of the AI research team were published in the journal Science Advances.
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