...but this is just another way of … querying a part of the AI...
I’ve studied Go using AI and have heard others discuss the use of AI in studying Go. Even for professional Go players, the inability for the AI to explain why it gave a higher win rate to a particular move or sequence is a problem.
Even if you could program a tertiary AI which could query the Go playing AI, analyze the calculations the Go playing AI is using to make it’s judgements, and then translate that into english (or another language) so that this tertiary AI could explain why the Go playing AI made a move, I would still disagree that even this hybrid system ‘knew’ how to play Go.
There is a definite difference between ‘calculating’ and ‘reasoning’ such that even a neural network with it’s training I think is really still just one big calculator, not a reasoner.
I’ve studied Go using AI and have heard others discuss the use of AI in studying Go. Even for professional Go players, the inability for the AI to explain why it gave a higher win rate to a particular move or sequence is a problem.
Even if you could program a tertiary AI which could query the Go playing AI, analyze the calculations the Go playing AI is using to make it’s judgements, and then translate that into english (or another language) so that this tertiary AI could explain why the Go playing AI made a move, I would still disagree that even this hybrid system ‘knew’ how to play Go.
There is a definite difference between ‘calculating’ and ‘reasoning’ such that even a neural network with it’s training I think is really still just one big calculator, not a reasoner.