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Tuesday 18 June 2024 16:20:21 GMT
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The ‘Frame Problem’ is one of the biggest problems facing #artificialintelligence . It goes back to the 1960s, and while various solutions have pushed the problem back, it hasn't quite gone away. Yet. Daniel #Dennett presents the problem in a thought experiment.  Imagine that there is a #robot who has to save its battery in a room containing a bomb. It's programmed its instructions, and it goes about its job. And so, it finds the battery on a cart and decides to pull it out. Success! But sadly for the robot, the bomb is also on the cart. And so, he carried out the bomb as well, unaware of the side effects of pulling the cart. The programmers change tack and now code the robot to be aware of side effects to actions too. Sadly, this time, the robot spends ten minutes debating all the vastness of the side options. It was just considering if moving the bomb would change the colour of the wall when it exploded. Finally, the team programmed the robot to differentiate between ‘relevant’ and ‘irrelevant’ side effects. But here the problem is only pushed back. The robot spends an age busily ignoring thousands of implications it has to decide are irrelevant.  The Frame Problem highlights an element of human intelligence we don't often appreciate, which is our ability to selectively ignore. In a second, most people can decide what's relevant or irrelevant in any given situation. When you walk into a room or when you talk to someone, you will set down certain axioms which would apply in that context and that context alone, and you'll do so in a blink of an eye.  But how vast and resource-intensive it is to program an artificial intelligence to do the same. #philosophy #ai #psychology #theframeproblem
The ‘Frame Problem’ is one of the biggest problems facing #artificialintelligence . It goes back to the 1960s, and while various solutions have pushed the problem back, it hasn't quite gone away. Yet. Daniel #Dennett presents the problem in a thought experiment. Imagine that there is a #robot who has to save its battery in a room containing a bomb. It's programmed its instructions, and it goes about its job. And so, it finds the battery on a cart and decides to pull it out. Success! But sadly for the robot, the bomb is also on the cart. And so, he carried out the bomb as well, unaware of the side effects of pulling the cart. The programmers change tack and now code the robot to be aware of side effects to actions too. Sadly, this time, the robot spends ten minutes debating all the vastness of the side options. It was just considering if moving the bomb would change the colour of the wall when it exploded. Finally, the team programmed the robot to differentiate between ‘relevant’ and ‘irrelevant’ side effects. But here the problem is only pushed back. The robot spends an age busily ignoring thousands of implications it has to decide are irrelevant. The Frame Problem highlights an element of human intelligence we don't often appreciate, which is our ability to selectively ignore. In a second, most people can decide what's relevant or irrelevant in any given situation. When you walk into a room or when you talk to someone, you will set down certain axioms which would apply in that context and that context alone, and you'll do so in a blink of an eye. But how vast and resource-intensive it is to program an artificial intelligence to do the same. #philosophy #ai #psychology #theframeproblem

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