A master student interested in pursuing a PhD is deciding between two courses: advanced game theory x = A and introduction to game theory x = I. The student can be one of two types: 0= L or 0= H. The PhD admission officer can observe the courses chosen by the student x = {A, I} but not the type of the student. Before observing the course chosen by the student, she believes both types are equally likely. She admits students only if she is sure that they are type = H (that is if she believes P(0 = H|x) = 1). The student gets 10 units of utility from being admitted to a PhD and 0 units if not admitted, and pays costs c(0) if she chooses advanced game theory and costs 0 if she chooses introduction to game theory. We assume that c(H) = 0 < c(L) = 15.
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- Halsen, a marketing manager at Business X, has determined four possible strategies (X1, X2, X3, and X4) for promoting the Product X in London. She also knows that major competitor Product Y has 4 competitive actions (Y1, Y2, Y3 and Y4) it’s using to promote its product in London, too. Ms. Halsen has no previous knowledge that would allow her to determine probabilities of success of any of the four strategies. She formulates the matrix below to show the various Business X strategies and the resulting profit, depending on the competitive action used by Business Y. Determine which strategy Ms. Halsen should select using. Maximax, maximin or minimax regret? Business X Strategy Business Y Strategy Y1 Y2 Y3 Y4 X1 25 57 21 26 X2 17 29 20 34 X3 47 31 32 37 X4 35 27 30 35Halsen, a marketing manager at Business X, has determined four possible strategies (X1, X2, X3, and X4) for promoting the Product X in London. She also knows that major competitor Product Y has 4 competitive actions (Y1, Y2, Y3 and Y4) it’s using to promote its product in London, too. Ms. Halsen has no previous knowledge that would allow her to determine probabilities of success of any of the four strategies. She formulates the matrix below to show the various Business X strategies and the resulting profit, depending on the competitive action used by Business Y. Determine which strategy Ms. Halsen should select using, the following decision criteria. Please explain your answer for each strategy. a)Maximax; b)Maximin; c)Minimax regret Business X Strategy Business Y Strategy Y1 Y2 Y3 Y4 X1 25 57 21 26 X2 17 29 20 34 X3 47 31 32 37 X4 35 27 30 35ASAP Please! In a variation of the coin game, there are 22 coins. Two players take turns and take between 1 and 3 coins each time. The player who takes the last coin loses the game. We may consider this a sequential game and thus could model this using an extensive form game. To win this game, the first mover should take Group of answer choices А.2 coins В.1 coin C. Any number, because no matter what, the first player loses the game D.3 coins
- 1.4. Suppose you are against one of two alternatives but 90% of theelectorate disagrees with your position and favors that option. Is there avoting method that is anonymous, neutral, and monotone that preventsthat option from being selected as the winning alternative?Consider two firms who are engaged in a Research and Development (R&D) "con- test". Both firms simultaneously expend resources to try to win the contest (which may mean developing a superior product or developing a product before the com- petitor). If the two firms expend bị and b2, respectively, on R&D, the probability that firm 1 wins the contest is if b1 = b2 =0 BE otherwise P1(b1, b2) = where r is some exogenous constant, r E (0, 0). If firm 1 wins the contest, it will subsequently earn revenue of 1 (not including the cost of R&D, b1). If firm 1 loses the contest, it will earn zero revenue, and thus lose bj in total. Hence, firm l's expected profit is n'(b1,b2) = p1(b1,b2) - b1. Everything is symmetric for firm 2. i. How does p1(b1,0) depend on b1? Is it an equilibrium for both firms to spend nothing on R&D (b1 = b2 = 0)? Prove and explain your answer. For which values of r is n' (b,b2) concave in b1 when b2 > 0? ii. Consider the possibility of a symmetric pure-strategy…An author is trying to choose between two publishing companies that are competing for the marketing rights to her new novel. Company A has offered the author $10,000 plus $2 per book sold. Company B has offered the author $2,000 plus $4 per book sold. The author believes that four levels of demand for the book are possible are: 1,000, 2,000, 3000 and 5000 books are sold. If the probabilities of each level of demand are as follows: Demand Probability 1000 0.31 2000 0.32 3000 0.25 5000 0.12 Construct the payoff table for each level of demand for company X and company Y. What are the expected monetary value (EMV) and expected opportunity loss (EOL)? Hence determine the best decision that this author should do.
- A mobile provider has two types of deals. Currently the provider has 1 million customers, 65% of those have deal 2, and the rest have deal 1. A customer with deal 1, after in average 5 months, may either change the type of the deal (60% of cases) or leave the provider at all (the rest of cases). A customer with deal 2 may also leave the provider; it happens in average after 8 months of using deal 2. It is forbidden do change deal 2 to deal 1. Customers can make their decisions at any time. We assume also that those who left the provider do not return back. (i) Sketch the transition diagram and write down the generator matrix. (Keep time in months. Note that the state space here contains three states.)How many of the current customers are expected to have deals of type 2 in 6 months? (Round the answer to the nearest integer.)A seller will run a second-price, sealed-bid auction for an object. There are two bidders, a and b, who have independent, private values v; which are either 0 or 1. For both bidders the probabilities of v; = 0 and v; = 1 are each 1/2. Both bidders understand the auction, but bidder b sometimes makes a mistake about his value for the object. %3| Half of the time his value is 1 and he is aware that it is 1; the other half of the time his value is 0 but occasionally he mistakenly believes that his value is 1. Let's suppose that when b's value is 0 he acts as if it is 1 with probability 1/2 and as if it is zero with 2 probability. So in effect bidder b sees value 0 with probability 1/4 and value 1 with probability 4. Bidder a never makes mistakes about his value for the object, but he is aware of the mistakes that bidder b makes. Both bidders bid optimally given their perceptions of the value of the object. Assume that if there is a tie at a bid of x for the highest bid the winner is…Wayne Enterprises had several salespersons that worked for a contract salary. To encourage them to make more sales, Wayne offered a $5,000 bonus to the salesperson who had the highest total dollar value the following month. That next month, Wendy had the highest sales. When Wendy received her next paycheck, there was no bonus. If Wendy sues Wayne to recover the $5,000 bonus, the likely result will be A. Wendy will lose because she already had a contract so there was no consideration B. Wendy will win because the offer of a bonus for high sales constituted consideration because it entailed additional performance by both parties C. Wendy will lose unless the promise was in writing. D. Wendy will win because of moral consideration
- Each of the two players independently (and simultaneously with the other) decides whether to go to a play or a concert. Each would rather go with the other to a concert than with them to a play, but prefers this to not being together, in which case they don't care where they go alone. Additionally, each is indifferent between attending the play together and participating in a lottery where both go to the concert with a probability of ¾ and to different events with a probability of ¼. Describe the game in matrix form and find all its equilibria under the assumption that the players have von Neumann-Morgenstern preferences.In the game of blackjack as played in casinos in Las Vegas, Atlantic City, and Niagara Falls, as well as in many other cities, the dealer has the advantage. Most players do not play very well. As a result, the probability that the average player wins a hand is about 45%. Find the probability that an average player wins. a.Twice in 5 hands. b. Ten or more times in 25 hands. Arrivals 0 1 2 3 4 5 6 7 8 Frequency 14 31 47 41 29 21 10 5 2In a tight real estate market, the probability that a buyer's offer will be accepted is 0.50 if she bids more than 15 thousand above the asking price. The probability of acceptance drops to 0.20 if she bids below this amount. Overall, sixty percent of offers are more than 15 thousand above the asking price. The probability that a randomly selected offer will be accepted by the seller is closest or equal to: 0.15 0.38 0.20 0.32 O 0.18