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Game Theory Developed to explain the optimal strategy in two-person interactions. Initially, von Neumann and Morganstern Zero-sum games John Nash Nonzero-sum games Harsanyi, Selten Incomplete information
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An example: Big Monkey and Little Monkey
Monkeys usually eat ground-level fruit Occasionally climb a tree to get a coconut (1 per tree) A Coconut yields 10 Calories Big Monkey expends 2 Calories climbing the tree. Little Monkey expends 0 Calories climbing the tree.
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An example: Big Monkey and Little Monkey
If BM climbs the tree BM gets 6 C, LM gets 4 C LM eats some before BM gets down If LM climbs the tree BM gets 9 C, LM gets 1 C BM eats almost all before LM gets down If both climb the tree BM gets 7 C, LM gets 3 C BM hogs coconut How should the monkeys each act so as to maximize their own calorie gain?
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An example: Big Monkey and Little Monkey
Assume BM decides first Two choices: wait or climb LM has four choices: Always wait, always climb, same as BM, opposite of BM. These choices are called actions A sequence of actions is called a strategy
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An example: Big Monkey and Little Monkey
c Big monkey w c w c Little monkey w 0,0 9,1 6-2,4 7-2,3 What should Big Monkey do? If BM waits, LM will climb – BM gets 9 If BM climbs, LM will wait – BM gets 4 BM should wait. What about LM? Opposite of BM (even though we’ll never get to the right side of the tree)
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An example: Big Monkey and Little Monkey
These strategies (w and cw) are called best responses. Given what the other guy is doing, this is the best thing to do. A solution where everyone is playing a best response is called a Nash equilibrium. No one can unilaterally change and improve things. This representation of a game is called extensive form.
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An example: Big Monkey and Little Monkey
What if the monkeys have to decide simultaneously? c Big monkey w c w c Little monkey w 0,0 9,1 6-2,4 7-2,3 Now Little Monkey has to choose before he sees Big Monkey move Two Nash equilibria (c,w), (w,c) Also a third Nash equilibrium: Big Monkey chooses between c & w with probability 0.5 (mixed strategy)
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An example: Big Monkey and Little Monkey
It can often be easier to analyze a game through a different representation, called normal form Little Monkey c v Big Monkey 5,3 4,4 c v 9,1 0,0
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Choosing Strategies In the simultaneous game, it’s harder to see what each monkey should do Mixed strategy is optimal. Trick: How can a monkey maximize its payoff, given that it knows the other monkeys will play a Nash strategy? Oftentimes, other techniques can be used to prune the number of possible actions.
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Eliminating Dominated Strategies
The first step is to eliminate actions that are worse than another action, no matter what. w c Big monkey w c c w c 9,1 4,4 w Little monkey We can see that Big Monkey will always choose w. So the tree reduces to: 9,1 0,0 9,1 6-2,4 7-2,3 Little Monkey will Never choose this path. Or this one
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Eliminating Dominated Strategies
We can also use this technique in normal-form games: Column a b 9,1 4,4 a Row b 0,0 5,3
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Eliminating Dominated Strategies
We can also use this technique in normal-form games: a b 9,1 4,4 a b 0,0 5,3 For any column action, row will prefer a.
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Eliminating Dominated Strategies
We can also use this technique in normal-form games: a b 9,1 4,4 a b 0,0 5,3 Given that row will pick a, column will pick b. (a,b) is the unique Nash equilibrium.
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Prisoner’s Dilemma Each player can cooperate or defect Column
-1,-1 -10,0 Row defect -8,-8 0,-10
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Prisoner’s Dilemma Each player can cooperate or defect Column
-1,-1 -10,0 Row defect -8,-8 0,-10 Defecting is a dominant strategy for row
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Prisoner’s Dilemma Each player can cooperate or defect Column
-1,-1 -10,0 Row defect -8,-8 0,-10 Defecting is also a dominant strategy for column
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Prisoner’s Dilemma Even though both players would be better off cooperating, mutual defection is the dominant strategy. What drives this? One-shot game Inability to trust your opponent Perfect rationality
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Prisoner’s Dilemma Relevant to: How do players escape this dilemma?
Arms negotiations Online Payment Product descriptions Workplace relations How do players escape this dilemma? Play repeatedly Find a way to ‘guarantee’ cooperation Change payment structure
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Tragedy of the Commons Game theory can be used to explain overuse of shared resources. Extend the Prisoner’s Dilemma to more than two players. A cow costs a dollars and can be grazed on common land. The value of milk produced (f(c) ) depends on the number of cows on the common land. Per cow: f(c) / c
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Tragedy of the Commons To maximize total wealth of the entire village: max f(c) – ac. Maximized when marginal product = a Adding another cow is exactly equal to the cost of the cow. What if each villager gets to decide whether to add a cow? Each villager will add a cow as long as the cost of adding that cow to that villager is outweighed by the gain in milk.
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Tragedy of the Commons When a villager adds a cow:
Output goes from f(c) /c to f(c+1) / (c+1) Cost is a Notice: change in output to each farmer is less than global change in output. Each villager will add cows until output- cost = 0. Problem: each villager is making a local decision (will I gain by adding cows), but creating a net global effect (everyone suffers)
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Tragedy of the Commons Problem: cost of maintenance is externalized
Farmers don’t adequately pay for their impact. Resources are overused due to inaccurate estimates of cost. Relevant to: IT budgeting Bandwidth and resource usage, spam Shared communication channels Environmental laws, overfishing, whaling, pollution, etc.
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Avoiding Tragedy of the Commons
Private ownership Prevents TOC, but may have other negative effects. Social rules/norms, external control Nice if they can be enforced. Taxation Try to internalize costs; accounting system needed. Solutions require changing the rules of the game Change individual payoffs Mechanism design
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Coming next time How to select an optimal strategy
How to deal with incomplete information How to handle multi-stage games
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