There seems to be a misunderstanding here. We all know of lots of tasks where machines currently perform much worse than humans do (and vice versa). What I thought we were discussing was humans who could arrive at correct answers without apparently having sufficient information to do so, and research which failed to turned up explanations based on data available to these people.
What would the methodology of such research look like? One could easily claim that poker players vary in skill and luck, or one could claim that poker players vary in their ability to make correct guesses about the state of the table based on the finite information available to them. How well do you think a perfect machine would do in a large poker tournament?
What would the methodology of such research look like?
I don’t know, you’re the one who said you’ve seen people claiming they’ve done this research.
How well do you think a perfect machine would do in a large poker tournament?
Machines are not nearly good enough yet at recognizing facial and verbal clues to do as well as humans in poker. And poker requires relatively little memorization and calculations, and humans do no worse than machines. So a machine (with a camera and microphone) would lose to the best human players right now.
OTOH, if a poker game is conducted over the network, and no information (like speech / video) is available of other players, just the moves they make, then I would expect a well written poker-playing machine to be better than almost all human players (who are vulnerable to biases) and no worse than the best human players.
There seems to be a misunderstanding here. We all know of lots of tasks where machines currently perform much worse than humans do (and vice versa). What I thought we were discussing was humans who could arrive at correct answers without apparently having sufficient information to do so, and research which failed to turned up explanations based on data available to these people.
What would the methodology of such research look like? One could easily claim that poker players vary in skill and luck, or one could claim that poker players vary in their ability to make correct guesses about the state of the table based on the finite information available to them. How well do you think a perfect machine would do in a large poker tournament?
I don’t know, you’re the one who said you’ve seen people claiming they’ve done this research.
Machines are not nearly good enough yet at recognizing facial and verbal clues to do as well as humans in poker. And poker requires relatively little memorization and calculations, and humans do no worse than machines. So a machine (with a camera and microphone) would lose to the best human players right now.
OTOH, if a poker game is conducted over the network, and no information (like speech / video) is available of other players, just the moves they make, then I would expect a well written poker-playing machine to be better than almost all human players (who are vulnerable to biases) and no worse than the best human players.
A brief search indicates that the issue was unresolved five years ago.