Two new AI systems beat humans at complex games
Two new AI systems beat humans at complex games
Two new AI systems beat humans at complex games
By Alison Snyder
December 1, 2022
Summary
Two new papers from AI powerhouses DeepMind and Meta describe how AI systems are notching wins against human players in complex games involving deception, negotiation and cooperation.
Driving the news: Researchers from DeepMind outline a new autonomous agent called "DeepNash" that learned to play the game Stratego in a paper published today in Science.
DeepNash couldn't play Stratego by searching all possible scenarios because there is an "Astronomical" number, the DeepMind team writes - far more than in chess, Go and poker, which AI systems have defeated.
Meta researchers last week described an AI system called "Cicero" that they report can play the game Diplomacy at the level of humans.
In 40 games of a blitz version of Diplomacy where the time for each move is limited to five minutes, Cicero scored more than double the average score of human players it went up against on a gaming platform.
The big picture: Experts debate how much mastering games will help to develop intelligent machines that can navigate the world of humans.
What to watch: Cicero relies on a more classical AI approach that involves training it on a corpus of human games and other bespoke data, which gives it some innate knowledge, researcher Gary Marcus writes.
Reference
Snyder, A. (2022, December 1). Two new AI systems beat humans at complex games. Axios. Retrieved January 11, 2023, from https://www.axios.com/2022/12/01/ai-beats-humans-complex-games