![]() “Using this technology for the critical issue of emergency rooms will analyze countless questions regarding the large, complex decisions that are made in real time.”ĭeHollander got the idea for the game after a hernia sent him to an emergency room in his native Michigan two summers ago. “Adam has an impressive knowledge of advanced chess gaming software that makes the original IBM Deep Blue look like a toy,” says Mark Karwan, SUNY Distinguished Teaching Professor Emeritus and DeHollander’s adviser. He’ll also write Chessable blog posts about his research progress. The award is for undergraduate and graduate students conducting any university-level research topic related to chess.ĭeHollander, as the graduate student winner, will receive $1,000. The research, the subject of DeHollander’s doctoral dissertation, recently received the 2022 Chessable Research Award from chess education platform Chessable. This new chess engine could eventually help medical professionals create better strategies for their emergency rooms, or even make real-time queuing and assignment decisions for them. “Turns out you can basically convert the emergency department into a game and then use the algorithms to solve the game.” “I wondered if we could reprogram the algorithms that play chess to instead analyze the emergency department,” DeHollander says. So why couldn’t they be used to make decisions in an emergency room?Ī game-playing artificial intelligence focused on assigning nurses and prioritizing patients instead of sacrificing pawns and capturing queens is being developed by Adam DeHollander, an operations research PhD student in the Department of Industrial and Systems Engineering. They can calculate millions of moves per second, allowing them to quickly make the best decision on the board. Computer chess engines surpassed the world’s best human players in the 1990s.
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