From AlphaGo to Power System AI: What Engineers Can Learn from Solving the Most Complex Board Game
Fangxing Fran Li, Yan Du · IEEE Power and Energy Magazine · 2018
Since its early development in the 1950s, artificial intelligence (AI) has been studied to mimic the function of human brains in solving science and engineering problems. Despite alternating bust and boom periods, AI has consistently progressed with a number of development milestones such as evolutionary algorithms, neural networks, and deep learning. For many AI test applications, the game of Go has been long considered one of the hardest problems and the most difficult among all major board games for AI to solve or mimic the way that the human brain functions.