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Stolen Art. 50,000 paintings stolen from museums and private collections around the world (including 287 by Picasso, 43 by Van Gogh, 26 by Renoir, more than 100 by Rembrandt). "Stolen art works don't end up on the walls of criminal connoisseurs. They usually end up in storage.
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Stolen Art • 50,000 paintings stolen from museums and private collections around the world (including 287 by Picasso, 43 by Van Gogh, 26 by Renoir, more than 100 by Rembrandt). • "Stolen art works don't end up on the walls of criminal connoisseurs. They usually end up in storage. • Mr Hill (former member of Metropolitan Police) : "I never pay a ransom. What I do is settle expenses and provide a finder's fee.“ • Tate Gallery paid 3 million pounds to someone who engineered the return of 2 works by Turner. • If thieves could somehow be persuaded that no finder's fees would ever be paid, they might stop stealing works of art. "But do you know a way to persuade them that no collector, and no gallery, never mind an insurance company, will ever hand over a cent to get its treasured masterpieces returned?" he asks. "Because I don't."
Modeling with Game Theory • What is the difference from previous “games” we have studied? • Decisions are made sequentially. (The thief decides first.) • Decisions of one player is seen by another player before his decision is made. (If the thief steals, the museum sees the art missing.) • We can still use Game Theory to model the previous problem. • But first, let us play a game.
Ultimatum game • One of you is Player A and the other is Player B. • You have £10 to divide between you. • Player A makes an offer how to divide it to Player B. • Player B can accept or reject. • If Player B accepts, the payoff is as offered. If Player B rejects, they both get zero.
Extensive Form Games (with perfect information) • In both these games, decisions are made sequentially with all players knowing fully what the decisions were made prior. • We can represent this problem by drawing a game tree. • Each node represents a player. • Each branch represents a player’s possible decisions. • At the end of the tree are the payoffs.
Graphing Extension Form games (ua(a1,b1),ub(a1,b1)) b1 a1 B b2 (ua(a1,b2),ub(a1,b2)) A A (ua(a2,b1),ub(a2,b1)) b1 a2 B B (ua(a2,b2),ub(a2,b2)) b2
Graphing Extension Form games Players (ua(a1,b1),ub(a1,b1)) b1 a1 B b2 (ua(a1,b2),ub(a1,b2)) A A (ua(a2,b1),ub(a2,b1)) b1 a2 B B (ua(a2,b2),ub(a2,b2)) b2
Graphing Extension Form games A’s decisions (ua(a1,b1),ub(a1,b1)) b1 a1 B b2 (ua(a1,b2),ub(a1,b2)) A A (ua(a2,b1),ub(a2,b1)) b1 a2 B B (ua(a2,b2),ub(a2,b2)) b2
Graphing Extension Form games B’s decisions (ua(a1,b1),ub(a1,b1)) b1 a1 B b2 (ua(a1,b2),ub(a1,b2)) A A (ua(a2,b1),ub(a2,b1)) b1 a2 B B (ua(a2,b2),ub(a2,b2)) b2
Graphing Extension Form games Payoffs (ua(a1,b1),ub(a1,b1)) b1 a1 B b2 (ua(a1,b2),ub(a1,b2)) A A (ua(a2,b1),ub(a2,b1)) b1 a2 B B (ua(a2,b2),ub(a2,b2)) b2
Stolen Art: Extension Form (-10,5) Pay Fee Steal Museum Don’t Pay (-20,-5) A Thief Not Steal B Museum (0,0) Enjoy The art
Stolen Art: Extension Form Players (-10,5) Pay Fee Steal Museum Don’t Pay (-20,-5) A Thief Not Steal B Museum (0,0) Enjoy The art
Stolen Art: Extension Form Thief’s decisions (-10,5) Pay Fee Steal Museum Don’t Pay (-20,-5) A Thief Not Steal B Museum (0,0) Enjoy The art
Stolen Art: Extension Form Museum’s decisions (-10,5) Pay Fee Steal Museum Don’t Pay (-20,-5) A Thief Not Steal B Museum (0,0) Enjoy The art
It costs the thief 5 to steal. (effort) The fee=10. The art is worth 20. (-10,5) Pay Fee Steal Museum Don’t Pay (-20,-5) A Thief Not Steal B Museum (0,0) Enjoy The art
Ultimatum Game in Extensive Form (8,2) Accept Offer (8,2) B Reject (0,0) A A Accept (5,5) Offer (5,5) B B (0,0) Reject
Subgame perfection • These games are called extensive form games with perfect information. • A set of strategies is a subgame perfect equilibrium if at every node (including those never reached), a player chooses his optimal strategy knowing that every node in the future the same will happen. • A subgame perfect equilibrium is a Nash equilibrium at every subgame.
Backward Induction • To solve for the subgame perfect equilibria, one can start at the end nodes. • Determine what are the decisions at the end. • Replace other earlier branches with the payoffs. • Repeat. • What are the subgame perfect equilibria in the ultimatum game? • If players are irrational at nodes not reached, can a player rationally choose a strategy that isn’t the subgame perfect strategy? • Coud this be a Nash equilibrium?
Gender in Ultimatum games(Solnick 2001) • Male offers to males $4.73> to females $4.43 • Female offers to males $5.13> to females $4.31. • Males accept $2.45 from other males<$2.82 from females. • Females accept $3.39 from males<$4.15 from females.
Bargaining w/ shrinking pie • Take the ultimatum game. Assume when there is a rejection the responder can make a counter-proposal. • However, the pie shrinks after a rejection. • What is the subgame perfect equilibrium when the pie shrinks from £10 to £6.
Bargaining w/ shrinking pie. Size of £10 Size of £6 Accept (8,2) Accept Offer (2,4) (2,4) Offer (8,2) B A Reject Reject (0,0) B A A Accept Accept (5,5) (3,3) Offer (5,5) B B A B Offer (3,3) B (0,0) Reject Reject
Bargaining Discussion • Do pies really shrink? • From our analysis why do strikes happen?
Simple Model of Entry Deterrence • A incumbent monopolist controls a market. • A potential entrant is thinking of entering. • The incumbent can expand capacity (or invest in a new technology) that is costly and not needed unless the entrant enters. • The entrant is deterred by this and stays out.
Simple Model of Entry Deterrence Enter (-10,5) Entrant Exit Expand Capacity (0,15) Incumbent (10,10) Enter Entrant Do nothing (0,20) Exit
Patent Shelving • Other deterrents to entry: patent shelving – throw the innovation in the closet. • Incumbant can invest in a patent. While the technology may be better than the current that it uses, it may be too expensive to adapt existing product line. Why? • Case studies • Hollywood: Top screen writers may rarely see a script made into a movie. • Microsoft: Does it really take hundreds of programmers to write word?
Patent Shelving (Incumbant, Entrant) (70,0) Use Incumbent Shelve Invest in patent (80,0) Incumbent Invest in patent (10,50) Entrant Do nothing (100,0) Do nothing
Kidnapping Game • Criminal Kidnaps Teen. • Requests ransom and threatens to kill if not paid. • Parent decides whether or not to pay. • If parent does not pay, criminal decides whether or not to kill hostage. • Start at end. Does the criminal kill if no ransom is paid? • What happens if there is no way to exchange ransom? • How can the hostage save himself if no ransom is paid? • What should a country do if its citizens are held for ransom?
Kidnapping Game (parent, criminal, child) Exchange for Ransom (-3,10,-2) (-10,-2,-20) Parent Don’t pay Kidnap Kill Criminal Criminal Criminal Identify (-1,-5,-1) Release Child Refrain Don’t Kidnap (0,0,0) (-1,-1,-3)
How reasonable is backward induction? • May work in some simple games. • Tic Tac Toe, yes, but how about Chess? • Too large of a tree. • Need to assign intermediate nodes. • May not work well if players care about fairness.
Homework. • Hold-up problem: • You get in a taxi. Should you bargain over the price at the beginning or end of the trip? Why? • Solve a three stage ultimatum game where in the first stage player A offers player B an offer for a $10 pie. If this offer is rejected, then the pie shrinks to $8 and player B makes the offer. If this offer is rejected, then the pie shrinks to $6 and player A makes the offer. If this final offer is rejected, then the payoffs are 0 to both players.