Automatic authors: Making machines that tell tales

 作者:苌羊车     |      日期:2019-03-01 08:01:00
By Simon Parkin “Teaching machines to tell stories is one of the toughest challenges in AI” (Image: Tom Gauld) It’s one of the toughest challenges in artificial intelligence: teaching a computer to understand us so well that it can write a story we’ll want to hear WHAT if there was a monkey who was afraid of bananas? What if there was a man who woke up as a dog but could still use his phone? What if there was a house without a door? The What-If Machine has an active imagination. Much like us: we love to make things up. We tell stories to entertain, to share experiences and to make sense of things. As the author Philip Pullman put it, “After nourishment, shelter and companionship, stories are the thing we need most in the world.” Soon, though, we won’t be the only ones doing it. Systems like the What-If Machine, developed by Teresa Llano and her colleagues, are being trained in the art of make-believe. The result could be machines that exhibit some of the most human-like AI yet seen. “We are not in the business of making artificial humans, but of making computers that can better understand and interact with humans,” says Tony Veale at University College Dublin, Ireland, who is also involved in the What-If Machine project. “We love stories, so we need our computers to adapt to this need.” To do so,