Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial intelligence, according to a researcher at Missouri S&T. “With the way AI algorithms are currently structured, they sometimes settle on an answer that seems good enough and stop searching before finding one that may be much better,” says Dr. Donald Wunsch, director of Missouri S&T’s Kummer Institute Center for AI and Autonomous Systems. “It’s important that we find ways to help these algorithms keep searching instead of stopping too soon. When AI is used in areas that affect people’s health, safety or cost of living, the difference between good enough and great can have significant implications.”Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial intelligence, according to a researcher at Missouri S&T. “With the way AI algorithms are currently structured, they sometimes settle on an answer that seems good enough and stop searching before finding one that may be much better,” says Dr. Donald Wunsch, director of Missouri S&T’s Kummer Institute Center for AI and Autonomous Systems. “It’s important that we find ways to help these algorithms keep searching instead of stopping too soon. When AI is used in areas that affect people’s health, safety or cost of living, the difference between good enough and great can have significant implications.”[#item_full_content]