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Well, that's a great question. It's also basically equivalent to the one that I asked. My point would be that I don't have an answer to that question, and given
by Retra 8y ago
Well, that's a great question. It's also basically equivalent to the one that I asked. My point would be that I don't have an answer to that question, and given your response, I bet you don't either. Which leaves either of us at a loss when we try to create a safe and reliable autonomous vehicle.
It's certainly not an unanswerable question. It's just quite hard to verify that they answer you have is a sufficiently correct one.
- xapata 8y ago> It's just quite hard to verify that they answer you have is a sufficiently correct one. Why? It seems to me that estimating the confidence of a prediction by the quality of measurements is not an infrequent machine learning task. It'd be more complex for a driving algorithm than calculating the confidence interval of a linear regression, but it's in the same theme.
- Retra 8y agoA computer can predict with 100% confidence if you give it few enough measurements. That doesn't mean it will make the correct decisions. You have to already know you're measuring the right things.
- xapata 8y agoIf you don't want it to do that, don't program it that way. Code it to assume some and to estimate the degree of mismeasurement.
- wool_gather 8y agoFair enough! You're absolutely right: I don't know the answer. I misinterpreted your post as suggesting/implying that there is no answer for a computer.