StarCraft-playing AI Accidentally Learns Ecology
Through playing StarCraft II, the AI AlphaStar learned ecological principles that apply to real ecosystem and organisms
Ready for battle
Ever since Deep Blue beat Gary Kasparov in chess (1996/1997), AI/machine learning systems have kept mastering new games. Some games are harder for AI than others, though. The game Go long proved a hurdle, requiring intuition and strategy in an even greater degree than chess. In fact, in 2001, this paper said:
The problems related to Computer Go require new AI problem solving methods. Given the great number of problems and the diversity of possible solutions, Computer Go is an attractive research domain for AI.
Then, in 2015, the AI AlphaGo beat 18-time Go world champion Lee Sedol 4 to 1, occasionally making ‘unique and creative’ moves.
On to the next challenge.
StarCraft is an SF real-time strategy game that has a long history of being one of the most popular and challenging games of its kind. Until about a year and a half ago, it was dubbed the…
