Tutto molto sensato, ma quando le macchine saranno intelligenti come noi, avranno una mente come la nostra e sbaglieranno come noi, non è che non ne vorremo piu sapere? <https://aeon.co/ideas/robot-cognition-requires-machines-that-both-think-and-...> For more than two millennia, Western thinkers have separated emotion from cognition – emotion being the poorer sibling of the two. Cognition helps to explain the nature of space-time and sends humans to the Moon. Emotion might save the lioness in the savannah, but it also makes humans act irrationally with disconcerting frequency. In the quest to create intelligent robots, designers tend to focus on purely rational, cognitive capacities. It’s tempting to disregard emotion entirely, or include only as much as necessary. But without emotion to help determine the personal significance of objects and actions, I doubt that true intelligence can exist – not the kind that beats human opponents at chess or the game of Go, but the sort of smarts that we humans recognise as such. Although we can refer to certain behaviours as either ‘emotional’ or ‘cognitive’, this is really a linguistic short-cut. The two can’t be teased apart. What counts as sophisticated, intelligent behaviour in the first place? Consider a crew of robots on a mission to Mars. To act intelligently, the robots can’t just scuttle about taking pictures of the environment and collecting dirt and mineral samples. They’d need to be able to figure out how to reach a target destination, and come up with alternative tactics if the most direct path is blocked. If pressed for time, the team of robots would have to know which materials are more important and to be prioritised as part of the expedition. Part of being intelligent, then, is about the ability to function autonomously in various conditions and environments. Emotion is helpful here because it allows an agent to piece together the most significant kinds of information. For example, emotion can instil a sense of urgency in actions and decisions. Imagine crossing a patch of desert in an unreliable car, during the hottest hours of the day. If the vehicle breaks down, what you need is a quick fix to get you to the next town, not a more permanent solution that might be perfect but could take many hours to complete in the beating sun. In real-world scenarios, a ‘good’ outcome is often all that’s required, but without the external pressure of perceiving a ‘stressful’ situation, an android might take too long trying to find the optimal solution. [...]