Green –beard strategy, Game Theory

Assignment Help:

1  A, Explain how a person can be free to choose but his or her choices are casually determined by past event

2  B , Draw the casual tree for newcomb's problem when Eve can't perfectly detect Adam's casual history. The probabilities of Eve rightly or wrongly detecting whether adam will later open only the black box instead of opening both boxes are respectively denoted r and w. recal that L denotes the smaller amount of money always in the clear box and M denotes the larger amount of money that eve might might put in side the opaque box  E A

C, Derive the two expected payoffs formulas E A (1B / r, w) and E A ( (2B /r,w) and use them to solve for another formula that equals the smallest value of M (denoted M*) required in order for Adam's expected payoff from opening only the opaque box to exceed that from opening both boxes by a multiple of as least ( a sign that looks like derivative)  L     what is the resulting formula for M*. finally suppose (L, sign that looks like derivative I don't know   )  = (300, 95), (r,w)=(.58, .43) and use the formula for M* to calculate the numerical value of M* for this case

 2.   A, Suppose a CD player player tries to detect whether its partner is C player instead of a DD player by looking for external signals that are at least as typical for DD players than DD players than for cd players draw a diagram tp explain how two boundariesb.L and bu  are optimally determined by the minimum likehood ration Lmin. Show on the diagram where it is optimal to respond C versus D. Also explain what happens to the boundries when detection becomes more cautious by raising the minimum likehood ration

b. What is meaning of the LDD detection strategy

c. What is the main problem with the green -beard strategy? Explain how the LDD strategy overcomes this problem

 3. A. If CD players are able to use the LDD strategy better than pure chance then explain what happens to the signal reliability ration as a CD player detects more cautiously

 b. Assume a population contains either CD ot DD players where each player is randomly matched with partner taken from the whole population. Also assume the fear and greed payoff differences are equal. What are the expected payoff formulas for CD players  [ denoted  E(DD/x CD  ) ]  depending on the fraction of CD players in the population, denoted x CD  \

c. Use expected payoff formulas of part C to algebraically derive an inequality for the signal reliability ration r/w that determines when the CD  players will outperform the DD players. Thenuse this inequality with Part A, to explain how CD players can always outperform DD players starting from any positive initial fraction of CD players  x CD  > 0.

 4, A. Use the inequality derived for part C question 3; to obtain an inequality required x *CD  = 1 to remain stable against DD invaders. Also draw the ROC diagram discussed in class for visually representing this stability inequality

B. Explain how a diagram similar to that shown in part A can be used to derive a prediction of what will happen to the CD players equilibrium probability of cooperating if the fear and greed pay off difference decrease relative to the cooperation payoff difference

C. Again explain how a diagram similar to that shown in Part A can be used to derive a prediction of what will happen to the CD player equilibrium probability of cooperating if they exchange email messages instead of talking talk face to face


Related Discussions:- Green –beard strategy

First price auction, Two individuals, Player 1 and Player 2, are competing ...

Two individuals, Player 1 and Player 2, are competing in an auction to obtain a valuable object. Each player bids in a sealed envelope, without knowing the bid of the other player.

Two player problem of points set up - game theory, a) Show that A c...

a) Show that A counting proof could be fun(?). But any old proof will do. (Note that the coefficients (1,2,1) in the above are just the elements of the second row of Pas

Bayes rule, Treating probability as a logic, Thomas Bayes defined the follo...

Treating probability as a logic, Thomas Bayes defined the following: Pr(X|Y)=Pr(Y|X)Pr(X)/Pr(Y) For example, probability that the weather was bad given that our friends playe

Find all ne of the game, 1. Find all NE of the following 2×2 game. Determin...

1. Find all NE of the following 2×2 game. Determine which of the NE are trembling-hand perfect. 2. Consider the following two-person game where player 1 has three strategie

Game 4 auctioning a penny jar (winner’s curse), GAME 4 Auctioning a Penny J...

GAME 4 Auctioning a Penny Jar (Winner’s Curse) Show a jar of pennies; pass it around so each student can have a closer look and form an estimate of the contents. Show the stud

Dynamic game, Normal 0 false false false EN-US X-NONE...

Normal 0 false false false EN-US X-NONE X-NONE

Write two methods for the mouse trap game, Write two methods for the mouse ...

Write two methods for the mouse trap game (using your board created in Assignment 3) and an event handler (another method) to test the two methods. 1. world.raise(item) where

Combining simultaneous and sequential moves, Combining Simultaneous and...

Combining Simultaneous and  Sequential Moves The material in this chapter covers a variety of issues that require some knowledge of the analysis of both sequential- move

Perfect nash equilibrium, Perfect Nash equilibrium Two students prepar...

Perfect Nash equilibrium Two students prepare their homework assignment together for a course. They both enjoy getting high grade for their assignment, but they dislike workin

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd