#need help

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pliant gazelleBOT
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tender sable
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Ah the prisoner's dilemma!

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If Beatrice goes for a hare, what does Alfonso get when going for a hare and what if he goes for the deer instead?

final cove
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that would be the best response right?

tender sable
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Why would that be the best response?

final cove
tender sable
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Are you sure that's right?

final cove
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sure

tender sable
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I suggest you read the question again

final cove
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ok one sec

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ok so

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both going for deer = payoff of 10 each

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one going deer and one hare = payoff of 0 and 3

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and if both go for hare = payoff 3 each

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what are payoff mean?

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@tender sable

tender sable
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Payoff is the reward expressed as a number, higher is better

final cove
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so he shouldn't go for the deer then

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in that case, he should also go for the hare

tender sable
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I agree!

final cove
tender sable
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Can you explain in words why?

final cove
tender sable
final cove
tender sable
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And what if he did not know what Beatrice would do?

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That's the actual prisoner's dilemma

final cove
tender sable
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Hmmmmm why?

final cove
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because choosing hare will always give a payoff of +3

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whereas if he chooses deer

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actually wait

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that's a hard question

tender sable
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Right? That's why it is a dilemma!

final cove
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what would you say for this?

tender sable
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I know what the optimal strategy is in this case

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In game theory your opponent is someone that always chooses the "best option"

tender sable
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In this case choosing the deer is beneficial to both you and the other person, whereas going for the hare is worse

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The actual prisoner's dilemma is different

final cove
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here's another question too

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not sure what nash equilibrium means

tender sable
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Nash equilibrium is about the optimal choice of a player given that the other player chooses a certain option

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So the question before was the nash equilibrium for Alfonso given that Beatrice chose the hare

final cove
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so it's the same concept but different wording?

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is the nash equilibrium 3?

tender sable
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No the Nash equilibrium is the strategy you employ given that the other person does a certain strategy

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Let's say that the other person goes for a hare. You would also go for a hare in that case, since it has the better payoff

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If the other person goes for the deer you would also do so, since then the payoff is higher

final cove
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or do I not say how many in numbers but rather explain each strategy?

tender sable
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Yes you say the strategy

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I believe it is something like (hare,hare) and (deer,deer)? Not sure, I'd have to look that up

final cove
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ok here are the strategies:

  1. if one goes for deer, then it would be optimal to also go for deer as the payoff for each is 10

  2. if one goes for hare, it would also be optimal to go for hare as the payoff for each is 3

  3. if one goes for deer then it would be optimal to go for hare as they will get a payoff of 10.

final cove
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  1. (deer,deer)
    2.(deer,hare)
    3.(hare,hare)
    4.(hare,deer)
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I hope that's correct

tender sable
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Those are not the equilibria but all possible combinations of events

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Because 2 and 4 don't seem to be equilibria

final cove
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I see, how would I do it?

tender sable
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The equilibria are, given that person A chooses option a, what would be the best to do for person B

final cove
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I believe there are only two optimal startegies in this case

tender sable
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I agree

final cove
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(deer,deer) and (hare,hare)

tender sable
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Exactly

final cove
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thankyou, I already learned so much from you

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this is the last one for part b

final cove
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or do I explain why too

tender sable
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I think you'd have to explain why too

final cove
final cove
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if you want

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ok im back

final cove
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because in this case, they would both get the maximum desired benefit

tender sable
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Because if you could communicate and would be bound to that that would be the best?

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I find it curious that probability is not a factor in these questions

tender sable
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Wait I want to check something

final cove
tender sable
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The probability for the other player choosing each of the two options

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Suppose that I chose to hunt the deer.
The expected payoff would be:
$10g+0(1-g)$
Where g is the probability that the other person goes for the deer.
Whereas the payoff when I'm going for the hare:
$3g+3(1-g)$

lime willowBOT
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Lumberdude #LeaveWolfAsHeIs

final cove
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now im confused despair

tender sable
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I'm sorry

final cove
tender sable
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Maybe for the optimal strategy, but that hasn't been a question.

final cove
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it seems too easy

tender sable
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Because the last question is not optimal strategy but strategy given that you can communicate

tender sable
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The payoff for the deer is 10 times the probability the other player goes for the deer too. That means that that strategy is optimal if the chance that the other player goes for the deer is bigger than 3/10

tender sable
final cove
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it's a sample paper which replicates what the actual exam would be like

tender sable
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Aaaah, can you discuss these with a TA or the lectrurer?

final cove
final cove
tender sable
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Might be good to know for the actual exam maybe?

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I dunno

final cove
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do you know how to solve these?

final cove
tender sable
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I'm no economist

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I will look it up

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Ok it seems like it is described by dy/dx or dx/dy

final cove
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pretty much

tender sable
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I think dy/dx

final cove
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for number 1

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ln(y) = 1/y right

tender sable
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The derivative of U wrt y is 1/y, yes

final cove
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and x = 1?

tender sable
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Yes

final cove
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ok so now we divide x and y

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so 1 divided by 1/y

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which is the same as 1 multiplied by y/1

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so 1*y = y

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so the answer is D?

tender sable
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Yes!

final cove
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nice

tender sable
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Well done dude

final cove
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thankyou

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now for number 2

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first lets differentiate

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and let me find x

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so make y = 0

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that would be:

-2x + 2

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nvm i'm confused

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so far I got:

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u(x) = -2x + 2

tender sable
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That's the du/dx?

final cove
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i defo done something wrong

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not sure

tender sable
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I don't know how to go about that specific question haha

final cove
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so it would be

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2 = -2x

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then divide by -2

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so 2 divided by -2

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= -1

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so x would be -1?

tender sable
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I know MRS, this I do not know man

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Maybe ask in general if there are any economists around

final cove
tender sable
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I will try reading into it

final cove
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do you know about quantitative economics

tender sable
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Unfortunately I do not

final cove
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this for example

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check it out - I found another variation to part B ๐Ÿ˜ฅ

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this one has probabilites

final cove
tender sable
final cove
tender sable
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Try to work it out by summing the two probabilities*payoff

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If you go for a deer, what is the chance that the other person goes for a deer, what is the chance that they go for a hare, what is the average value you get

final cove
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im confused sorry]

tender sable
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Ok I'll give you another example

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Let's say I'm playing a game where I have to call heads or tails on a coin toss. If my choice wins I get $10, if I have it wrong I win nothing.
My expected payoff if I choose heads is:
p*10+(1-p)*0, where p= probability that the coin lands on heads

final cove
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and the 0

tender sable
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The probability that it does not land on heads

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0 is the payoff if it lands tails

final cove
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I see

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so P is heads

tender sable
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In my example yes

final cove
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1-P means not landing on heads

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and 0 is tails

tender sable
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Yes, since there are only two options

final cove
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ok

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and what shall I find?

tender sable
final cove
tender sable
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It is the expected payout given that I chose heads

final cove
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because you'll get nothing

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if it doesn't land on heads

final cove
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that's the general equation?

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so the expected payoff for Alonso going for deer

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is P(10)?

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or P(10) - (1-p)

tender sable
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No the probability for the other person going for the deer should be the same