The Sleeping Beauty Problem: Any halfers here?

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In summary, the Sleeping Beauty Problem is a thought experiment that challenges the concept of subjective probability. It poses the question of whether Sleeping Beauty, who is woken up multiple times during an experiment, should have the same belief about the outcome each time or if her belief should change based on the probability of the event. This problem has sparked debate among philosophers and has implications for understanding the nature of consciousness and the role of probability in decision-making.

What is Sleeping Beauty's credence now for the proposition that the coin landed heads?

  • 1/3

    Votes: 12 33.3%
  • 1/2

    Votes: 11 30.6%
  • It depends on the precise formulation of the problem

    Votes: 13 36.1%

  • Total voters
    36
  • #246
PeterDonis said:
But the conditional probabilities, which are also involved in a rational determination of which bets to take, are still perfectly objective-.

Can we clarify things by having a statement of which conditional probabilities are to be computed?

In particular, what precisely are the "given" events involved in the conditional probabilities?
 
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  • #247
I'm going slow to prevent any possibility disagreement. Consider these variations:

1) The day doesn't matter. So roll a die at the same time you flip the coin (don't show it to her). If they are (Heads, Even), let her sleep through Tuesday, as in the original experiment. If (Heads, Odd), she sleeps through Monday, and awakened Tuesday. Does anybody think her answer changes? I hope not. Call it Z.

2) The coin result only affects the question. So in addition to adding the die, flip two coins instead of one. Say, a dime and a quarter. Wake her once if they are the same, and twice if they are different; the day she sleeps is still determined by the die. Then ask her for her confidence that the coins showed the same face.

2A) If you show her the dime, and it is heads, we have variation (1). And its answer, Z.

2B) If you show her the dime, and it is is tails, we have a problem with an equivalent solution, so the same answer, Z.

2C) If you don't show her the dime, she can treat it as a random variable. The law of total probability says her answer is Z*Pr(DIME=H)+Z*Pr(DIME=T)=Z.

3) Make it simpler. Write (H,Mon), (H,Tue), (T,Mon), and (T,Tue) on four cards. Pick one at random when you flip the coin. Don't show it to Beauty, but she sleeps through the day on the card, if the coin matches the card. Ask her for her confidence in that match. This is really the same problem as (3), so the answer is, again, Z.

But this problem can be solved, because an awake Beauty does have new information. One card is ruled out, she just doesn't know which. But she can identify it with a change of variables. Instead of "Mon" and "Tue", use "Today" and "Other Day". Instead of "H" and "T", use "Up" and "Down".

Now the four cards say (Up,Today), (Up,Other), (Down,Today), and (Down,Other). She was dealt one at random, and now knows it wasn't (Up, Today). She is asked for her confidence that the card she was dealt says "Up", and that is unambiguously 1/3.
 
  • #248
Stephen Tashi said:
Can we clarify things by having a statement of which conditional probabilities are to be computed?

In particular, what precisely are the "given" events involved in the conditional probabilities?

There are three (interdependent) boolean variables that completely describe the situation on any day:
  1. heads (if heads is false, that means the result was tails)
  2. monday (if monday is false, that means today is tuesday)
  3. awake (if awake is false, that means she is asleep)
I would say that the number to be computed is:

P(heads | awake)

If you're willing to formulate the problem in terms of those three variables, then you can immediately write down the equation:

P(heads | awake) = P(heads | monday & awake) P(monday | awake) + P(heads | tuesday & awake) P(tuesday | awake)

The real dispute seems to be over the conditioning on Sleeping Beauty being awake. As far as Sleeping Beauty is concerned, she never consciously experiences not being awake, so there is no reason to mention that variable at all. I think that's pretty silly. In conditional probability, there is no harm in conditioning on an always-true condition: P(X | true) = P(X). So it can't hurt anything to include the "awake" condition.

But the halfers would say not to mention that variable at all. In that case, then the formula becomes:

P(heads) = P(heads | monday) P(monday) + P(heads | tuesday) P(tuesday)

At this point, the halfers are facing a mathematical contradiction: They would say:

P(heads) = 1/2
P(heads |monday) = 1/2
P(heads | tuesday) = 0 (it's impossible)

So the formula boils down to

1/2 = 1/2 P(monday)

which implies that P(monday) = 1; it's impossible for it to be Tuesday. That's a nonsensical result. Of course, it's possible for it to be Tuesday.
 
  • #249
stevendaryl said:
I would say that the number to be computed is:

P(heads | awake)

This is the one we have been focusing on, but note that unless we interpret "subjective credence that the coin came up heads" to mean this conditional probability, it is not necessarily one that we need to compute

For example, if we interpret "subjective credence" to mean which bets would or would not be taken, then we have to know the payoffs, as I said before, and we have to compute every conditional probability associated with a payoff, in order to compute a weighted expectation. Keeping the payoff definitions as general as possible, we would have

Payoff(Bet Heads) = P(Heads|Monday) P(Monday|Awake) Payoff(Bet Heads|Monday & Heads) + P(Tails|Monday) P(Monday|Awake) Payoff(Bet Heads|Monday & Tails) + P(Tails|Tuesday) P(Tuesday|Awake) Payoff(Bet Heads|Tuesday & Tails)

where no "Tuesday & Heads" term appears because that possibility is ruled out by the problem statement. Note that, because of the weighting by payoffs, this computation is not the same as the computation of P(Heads|Awake). A similar formula would apply for Payoff(Bet Tails).
 
  • #250
stevendaryl said:
There are three (interdependent) boolean variables that completely describe the situation on any day:

Ok, but we should really start by defining the "probability spaces" that are involved.

Presumably, combinations of values of the variable define events in a probability space. But talking about value of a variable on "any day" seems to imply the events in the probability space involve days or sequences of days.
 
  • #251
stevendaryl said:
Just the prior of heads doesn't answer the question, though. We can write:

P(heads|awake) = P(heads | awake & monday) P(monday | awake) + P(heads | awake & tuesday) P(tuesday | awake)

The second term is zero (since it's impossible for it to be heads if Sleeping Beauty is awake on a Tuesday). So we have:

P(heads | awake) = P(heads | awake & monday) P(monday | awake)

At this point, I would say that P(heads | awake & monday) = P(heads). Knowing that you are awake and that it is Monday doesn't tell you anything about whether the coin is heads or tails. So we have finally:

P(heads | awake) = P(heads) P(monday | awake) = 1/2 P(monday | awake)

So the two conditionals I think are closely related.
I do agree that they are closely related, but they are not the same. One of the problems in this thread is the wide variety of alternative scenarios proposed, which seem to be having the opposite effect as intended regarding clarifying the original scenario. So I suggest sticking to the scenario as specified in the Wikipedia article. There Beauty is asked her credence about the coin being heads. So the clear appropriate prior would be the 0.5 prior probability that a fair coin toss is heads. The prior probability to which day it is is not as clear and not necessary for the problem.
 
  • #252
stevendaryl said:
I gave you the formula:

P(heads | awake) = P(heads | awake & Monday) P(Monday | awake) + P(heads | awake & Tuesday) P(Tuesday | awake)

That formula is a theorem of conditional probability (together with the assumption that it's either Monday or Tuesday). What else do I need to explain about it?
You could simple have answered the question "explain your statement that she can test her amnesia or "update her information", instead of running in circle a get back to this formula which does not apply to the Sleeping Beauty problem.
We are not asked about probability of her being awake any day. She is ask only when she is awake, some questions about a coin flipped once. Why bother if her answer may not change from day to day ?

You would not even have taken the time to read the problem, if Peter hasn't forced you to (thanks to his credence). Read the problem, and try to understand it, your formula does not apply to it, because the problem is NOT defined enough for that (also read post#67)

stevendaryl said:
If P(heads | Monday & awake) = 1/2 and P(Monday | awake) < 1, then it follows that P(heads | awake) < 1/2
And again, P(Monday | awake) = 1, because of the drug.
 
  • #253
Dale said:
Beauty is asked her credence about the coin being heads. So the clear appropriate prior would be the 0.5 prior probability that a fair coin toss is heads. The prior probability to which day it is is not as clear and not necessary for the problem.

I'm not sure I understand. If the only prior that is relevant is P(Heads) = 1/2, and no probabilities related to which day it is are relevant, then you are basically agreeing with the halfer argument. Is that your intent? Or are you just saying that P(Monday|Awake) = 2/3, which is the crucial factor needed for the thirder's argument, is not a "prior" but something else?
 
  • #254
Boing3000 said:
P(Monday | awake) = 1, because of the drug

This is not correct. P(Monday|Awake) is the conditional probability that it is Monday, given that Beauty is awake. It is not the conditional probability that Beauty is awake, given that it is Monday; that would be P(Awake|Monday). The latter conditional probability is indeed 1, but it is not the one being used in the argument.
 
  • #255
A big part of solving any problem is recognizing the best formulation of a problem. In this case, the best formulation would be Bayes rule stated in odds form:
$$O(H:T|A) = O(H:T) \frac{P(A|H)}{P(A|T)}$$
Where H is the coin landed heads, T is the coin landed tails, A is Beauty is awakened during the experiment (i.e. with amnesia, being interviewed, and being asked her credence that it is heads).

Since the coin is fair O(H:T) is 1 (1:1 odds). The conditional probability P(A|H) is strange, but it is actually not important. What is important is the ratio of P(A|H)/P(A|T), which is clearly 1/2. So then O(H:T|A) = 1/2 (2:1 odds against H), which is a conditional probability of 1/3 for H.

The information is clear, the prior is clear, and the day of the week doesn't even need to enter into the calculation.
 
  • #256
Dale said:
What is important is the ratio of P(A|H)/P(A|T), which is clearly 1/2.

Ah, I see. The day of the week only plays an indirect role, in deriving this ratio, and the conditional probability for it being a particular day of the week does not enter into it. I agree this is a much cleaner formulation for the odds. However, I'm wondering how you would compute the expected payoff for bets in this way in a scenario like the second one in post #67 (where only one bet is paid off even if Beauty is awakened twice).
 
  • #257
PeterDonis said:
This is not correct. P(Monday|Awake) is the conditional probability that it is Monday, given that Beauty is awake. It is not the conditional probability that Beauty is awake, given that it is Monday; that would be P(Awake|Monday). The latter conditional probability is indeed 1, but it is not the one being used in the argument.
I agree, but my statement is : the drug only use, in the context in this exact scenario, is to make P(Monday) = 1 => P(Monday|Anything) = 1 (anything including no coin flipped at all)
If not, there is no reason to put beauty to sleep and ask her anything. She can answer everything Sunday evening, and do something better with her live, because no information appears past Sunday evening. I cannot get Dale or Steven to acknowledge that.
 
  • #258
PeterDonis said:
But just knowing the probabilities isn't enough. You also have to know the payoffs attached to each possible outcome. In other words, you are betting on the weighted expectation of the payoff.
Yes, this is true. What I mean is that a rational assessment of the probability of an event must be the same probability as used to calculate the payoff odds at which the rational assessor would be indifferent to a wager on that event occurring.
 
  • #259
Boing3000 said:
the drug only use, in the context in this exact scenario, is to make P(Monday) = 1 => P(Monday|Anything) = 1 (anything including no coin flipped at all)

I don't understand. What do you mean by P(Monday) = 1 => P(Monday|Anything) = 1?
 
  • #260
Boing3000 said:
You could simple have answered the question "explain your statement that she can test her amnesia or "update her information", instead of running in circle a get back to this formula which does not apply to the Sleeping Beauty problem.

So you are rejecting a standard formula of the theory of probability. That's what I thought, but you earlier denied rejecting probability theory.
 
  • #261
Dale said:
What I mean is that a rational assessment of the probability must be the same probability as used to calculate the payoff odds at which the rational assessor would be indifferent.

Yes, but which odds are those? That will depend on how the payoffs are structured. In the two scenarios described in post #67, the payoffs are structured such that different odds are relevant:

In the first scenario, where all bets made are paid off at the end, the relevant odds are O(H:T|A).

In the second scenario, where only the last bet made is paid off at the end, and any other bets made are discarded, the relevant odds are just O(H:T).
 
  • #262
PeterDonis said:
However, I'm wondering how you would compute the expected payoff for bets in this way in a scenario like the second one in post #67 (where only one bet is paid off even if Beauty is awakened twice).
That is actually a malicious wager, and I don't know how to compute odds with malicious agents who refuse to honor certain bets. I would suspect that such a computation should come out to 1/2 in this case, but that is a gut feeling with no analysis behind it.

But that is not the scenario considered in the Wikipedia description where Beauty is asked her credence "now".
 
  • #263
PeterDonis said:
I don't understand. What do you mean by P(Monday) = 1 => P(Monday|Anything) = 1?
I mean: no recollection of monday while having recollection of sunday make you certain that your are monday.
That's the world Beauty is in. The opinions of outsider are useless to her.
 
  • #264
Boing3000 said:
I mean: no recollection of monday while having recollection of sunday make you certain that your are monday.
That's the world Beauty is in. The opinions of outsider are useless to her.

That's clearly wrong. The fact that she doesn't know whether it is Monday or Tuesday does not imply that it is Monday.
 
  • #265
Boing3000 said:
And again, P(Monday | awake) = 1, because of the drug.

Do you really believe that? Sleeping Beauty knows the rules of the experiment. So she knows upon wakening that there are three possibilities:
  1. It is monday, and the coin flip result was heads
  2. It is monday, and the coin flip result was tails
  3. It is tuesday, and the coin flip result was tails.
You're saying that her conclusion is: Today must be Monday?
 
  • #266
Boing3000 said:
no recollection of monday while having recollection of sunday make you certain that your are monday

No, it doesn't, because she is in exactly the same position on Tuesday, since the drug erases her recollection of Monday.
 
  • #267
PeterDonis said:
However, I'm wondering how you would compute the expected payoff for bets in this way in a scenario like the second one in post #67 (where only one bet is paid off even if Beauty is awakened twice).
I have modified the code to simulate post#67 setup. Second parameter is Beauty strategy likelihood to bet on tail

Code:
(function BeautyBets67(run, beautyGuess, betAmount, rule) {
    var counts = { Wins: 0 }
    var experiments = [
            function headBet(counts) {
                var headBet = Math.random() >= beautyGuess;
                if (headBet)
                    counts.Wins += betAmount;
                else
                    counts.Wins -= betAmount;
            },
            function Tail(counts) {
                var tailBet = Math.random() < beautyGuess;
                if (tailBet)
                    counts.Wins += betAmount;
                else
                    counts.Wins -= betAmount;

                if (rule !== "B") {
                    if (tailBet) {
                        counts.Wins += betAmount;
                    }
                    else {
                        counts.Wins -= betAmount;
                    }
                }
            }
    ];
    while (--run >= 0) {
        experiments[Math.floor(Math.random() * experiments.length)](counts);
    }
    alert("Money " + counts.Wins);
})(10000, 0.5, 100, "A");
 
  • #268
PeterDonis said:
No, it doesn't, because she is in exactly the same position on Tuesday, since the drug erases her recollection of Monday.
Which is exactly the reason why she is drugged, to make her certain that she is Monday, which is the exact same position (your words)
 
  • #269
Stephen Tashi said:
Ok, but we should really start by defining the "probability spaces" that are involved.

That's the challenge: to figure that out.

The original problem mixes up two different notions of possibility (which maybe is the source of the confusion?):
  1. There are alternate "possible worlds": One where the coin flip result is heads, and one where the coin flip result is tails.
  2. There are alternate days within one world.
(awake versus asleep is a function of the other two variables). So there are 4 possibilities:
  1. (tails, monday, awake)
  2. (tails, tuesday, awake)
  3. (heads, monday, awake)
  4. (heads, tuesday, asleep)
From Sleeping Beauty's point of view, she wakes up and knows that she is in situations 1-3 (she can't actually experience #4). She is uncertain about what day it is, and she is uncertain about what the coin flip result was. The point of the problem is to come up with a sensible way to quantify these uncertainties. So from a Bayesian reasoning point of view, she's being asked to come up with sensible prior probabilities.
 
  • #270
Boing3000 said:
Which is exactly the reason why she is drugged, to make her certain that she is Monday, which is the exact same position (your words)

The point of the drug is so that she can't tell the difference between Monday and Tuesday. It's not to fool her into thinking it's Monday when it isn't. She knows that it's possible that she's been drugged.

There is a difference between not knowing what day it is and falsely believing that it is Monday when it's not.
 
  • #271
Boing3000 said:
Please tell me how YOU would KNOW that you have amnesia, after waking up
I would know because I would recall volunteering for the experiment, I would recall that induced amnesia is part of the experimental protocol, I would not recall awakening after Sunday, and the interviewer would be interviewing me according to the protocol.
 
  • #272
stevendaryl said:
That's clearly wrong. The fact that she doesn't know whether it is Monday or Tuesday does not imply that it is Monday.
No ? In my book, every time I have only recollection of the previous day, then I am the next day. Unless I am in a hospital, or with evil mathematician torturing my for NO REASON.

stevendaryl said:
Do you really believe that? Sleeping Beauty knows the rules of the experiment. So she knows upon wakening that there are three possibilities:
Of course she knows it. She knows that she might be drugged. That's not what she is asked about.
The only thing she know for a fact, is that she is Monday. This is the only information she have that is different from the lab guys.

stevendaryl said:
You're saying that her conclusion is: Today must be Monday?
I am saying here conclusion is not based on coin value, that she has no access to.
Nor ii is based on yesterday calculation that will never be updated.

She is asked about her credence about that coin now. And her now is forever Monday. There is no other reasons to drug her. Not one that you can come up with anyway, to justify your computation.
 
  • #273
stevendaryl said:
Actually, what you know in the Sleeping Beauty problem is that you have no memory of Monday. That could be because of amnesia, or it could be because today is Monday.
That is a good point, and is a better way of stating the situation. What she does know is that she is being awakened as part of the study protocol. She knows that, as you say, and from her agreement to enter the study.
 
  • #274
Dale said:
I would know because I would recall volunteering for the experiment, I would recall that induced amnesia is part of the experimental protocol, I would not recall awakening after Sunday, and the interviewer would be interviewing me according to the protocol.
In other words you only have probability based on prior knowledge. I asked you about a way to test your amnesia.
 
  • #275
Boing3000 said:
In other words you only have probability based on prior knowledge. I asked you about a way to test your amnesia.
That is all that is needed for probabilistic inference. Indeed, that is all you get from any medical test or scientific experiment
 
  • #276
Boing3000 said:
In my book, every time I have only recollection of the previous day, then I am the next day.

In other words, you are defining "I can't remember anything past Sunday" as being equivalent to "it is Monday". Which is not the way anyone else in this discussion is defining "it is Monday". Everyone else is defining "it is Monday" as it actually being Monday, regardless of anyone's memory or lack thereof; thus, according to the way everyone else is using language, "I can't remember anything past Sunday" is consistent with either "it is Monday" or "it is not Monday, it is Tuesday, but my memory of Monday has been erased by the drug".

I suppose this is an extreme example of the vagueness of ordinary language. But in your idiosyncratic use of language, we would still need to somehow distinguish the cases "I can't remember anything past Sunday because it is actually Monday" and "I can't remember anything past Sunday because it is actually Tuesday and my memory of the actual Monday has been erased". So how, in your use of language, would you distinguish those cases? Once you answer, then just go back and substitute your answer everywhere that anyone except you says "it is Monday" or "it is Tuesday", and so forth. Then you will be talking about the same actual math as the rest of us.
 
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  • #277
Boing3000 said:
No ? In my book, every time I have only recollection of the previous day, then I am the next day. Unless I am in a hospital, or with evil mathematician torturing my for NO REASON.

She's told the rules ahead of time. She knows that there is a possibility of it being Monday or Tuesday, because that's the way the experiment was set up.

She is asked about her credence about that coin now. And her now is forever Monday.

That makes no sense. The fact that she doesn't know whether it's Monday or Tuesday doesn't mean that it's Monday.
 
  • #278
Dale said:
That is all that is needed for probabilistic inference. Indeed, that is all you get from any medical test or scientific experiment
You don't need to be put to sleep for that. You don't need to be drugged for that. Beauty problem is not about generic and easy probabilistic inference.
That problem contains a specific procedure to break that inference.

Or maybe you could explain why she has to be put to sleep or drugged randomly ?
What if we use a drug to implant memories of Monday. Does it help ?
 
  • #279
Boing3000 said:
Which is is case for EVERY day. This does NOT change
It certainly does change. Specifically it is not the case on Sunday or earlier and it is not the case on Wednesday or later. Her observations let her know that she is being awoken as part of the experimental protocol on Monday or Tuesday. This is information.
 
  • #280
Boing3000 said:
Beauty problem is not about generic and easy probabilistic inference.
That problem contains a specific procedure to break that inference.
The procedure is designed so that Beauty cannot condition on Monday or Tuesday, but she can still marginalize over them. (Although even that is not necessary)
 

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